The Applied Software Systems Laboratory

472 references found

Copyright Notice: It is understood that the following electronic versions of the papers are non-commercial distributions available to ensure the timely dissemination of their content. Copyrights for each published paper are held by the respective publishing organization.

2011

H. Kim and M. Parashar. CometCloud: An autonomic cloud engine. Cloud Computing: Principles and Paradigms, pp. 275-297, Apr 2011.

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H. Kim, Y. el-Khamra, S. Jha and M. Parashar. Exploring the use of hybrid HPC-grids/clouds infrastructure for science and engineering. Cloud Computing: Methodology, System, and Applications, 2011.

H. Kim, Y. el-Khamra, I. Rodero, S. Jha and M. Parashar. Autonomic Management of Application Workflow on Hybrid Computing Infrastructure. Scientific Programming Journal, No. 2-3, Vol. 19, pp. 75-89, 2011.

X. Qi, H. Kim, F. Xing, M. Parashar, D. J. Foran and L. Yang. The analysis of image texture feature robustness using CometCloud. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 2011.

F. Zhang, C. Docan, M. Parashar and S. Klasky. Enabling Multi-Physics Coupled Simulations within the PGAS Programming Framework. 11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2011), May 2011.

C. Docan, M. Parashar, J. Cummings and S. Klasky. Moving the Code to the Data -- Dynamic Code Deployment using ActiveSpaces. 25th IEEE International Parallel and Distributed Processing Symposium (IPDPS'11), Anchorage, Alaska, May 2011.

D. S. Katz, S. Jha, M. Parashar, O. Rana, and J. Weissman. Survey and Analysis of Production Distributed Computing Infrastructures. Technical Report CI-TR-7-0811. Computation Institute, University of Chicago and Argonne National Laboratory, 2011.

Samprita Hegde. Autonomic Cloudbursting for MapReduce framework using a Deadline based Scheduler, May 2011.

L. Yang, H. Kim, M. Parashar, and D. J. Foran. High throughput landmark based image registration using cloud computing. 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Toronto, Canada, September 2011.

S.A. Coe, E. Principato, Om Rizwan and K. Ye. Autonomic Data Center Thermal Management. NJ Governor's School of Engineering and Technology 2011, (Mentors: Manish Parashar and Ivan Rodero), Piscataway, NJ, USA, July 2011.

H. Viswanathan, E.K. Lee, I. Rodero, D. Pompili, M. Parashar and M. Gamell. Energy-Aware Application-Centric VM Allocation for HPC Workloads. 8th High-Performance Grid and Cloud Computing Workshop in conjunction with IEEE IPDPS 2011, Anchorage, AK, USA, May 2011.

F. Guim, M. Ferrer, J. Jorba, I. Rodero and M. Parashar. Mptrace: Characterizing Physical Memory Usage for Chip Multiprocessors. First International Conference on Advanced Communications and Computation (INFOCOMP), Barcelona, Spain, October 2011.

I. Rodero and M. Parashar. Energy Efficiency in HPC systems. Energy Aware Distributed Computing Systems, Wiley Series on Parallel and Distributed Computing, 2011.

I. Rodero, A. Quiroz, M. Parashar, F. Guim and S. Poole. Energy-efficient Online Provisioning for HPC Workloads. Handbook of Energy-Aware and Green Computing, Chapman and Hall/CRC Press, ISBN: 978-1-4398-5040-4, pp. 795-817, 2011.

Karthik Elangovan. Adaptive Memory Power Management Techniques for HPC Workloads, October 2011.

Hrishikesh Gadre. Investigating MapReduce Framework Extensions for Efficient Processing of Geographically Scattered Datasets, October 2011.

2010

M. Wang and M. Parashar. Object-Oriented Stream Programming using Aspects. Proceedings of the 24 th IEEE International Parallel and Distributed Processing Symposium, Atlanta, GA, USA, April 2010.

M. Parashar and X. Li. GrACE: Grid Adaptive Computational Engine for Parallel Structured AMR Applications. Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar, X. Li, S. Chandra, John Wiley and Sons, pp. 249-263, 2010.

M. Parashar and X. Li. HRMS: Hybrid Runtime Management Strategies for Large Scale Parallel Adaptive Applications. Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar, X. Li, S. Chandra, John Wiley and Sons, pp. 437-462, 2010.

F. Zheng, Hi Abbasi, C. Docan , J. Lofstead, S. Klasky, Q. Liu, M. Parashar, N. Podhorszki, K. Schwan and M. Wolf. PreDatA - Preparatory Data Analytics on Peta-Scale Machines. Proceedings of the 24 th IEEE International Parallel and Distributed Processing Symposium, Atlanta, GA, USA, April 2010.

B. Chen, D. Pompili and M. Parashar. Bio-inspired Communications for Coordination among Autonomous Underwater Vehicles. Proceedings of the 33rd IEEE Sarnoff Symposium, Princeton, NJ, USA, April 2010.

C. Docan, M. Parashar, J. Cummings, N. Podhorszki and S. Klasky. Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows. Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Melbourne, Victoria, Australia, May 2010.

M. Parashar and X. Li. Enabling Large-Scale Computational Science: Motivations, Requirements and Challenges. Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar, X. Li, S. Chandra, John Wiley and Sons, pp. 1-7, 2010.

M. Parashar, T. Kurc, M. F. Wheeler, U. Catalyurek and J. Saltz. Driving Science and Engineering Applications by Data: Dynamic Data-Driven Approaches for Simulation-Based Optimization and Decision Making. Dynamic Data Driven Applications Systems, F. Darema, Kluwer Academic Publishers, 2010.

Y. el-Khamra, H. Kim, S. Jha and M. Parashar. Exploring the Performance Fluctuations of HPC Workloads on Clouds. 2nd IEEE international conference on cloud computing technology and science (CloudCom), Indianapolis, IN, USA, November 2010.

A. V. Vasilakos, M. Parashar, S. Karnouskos and W. Pedrycz. Autonomic Communication, Springer Science-Business Media, pp. 374, 2010.

H. Kim, Y. el-Khamra, S. Jha and M. Parashar. Exploring Adaptation to Support Dynamic Applications on Hybrid Grids-Clouds Infrastructure. 1st Workshop on Scientific Cloud Computing (ScienceCloud), in conjunction with the ACM International Symposium on High Performance Distributed Computing (HPDC), Chicago, IL, USA, June 2010.

C. Docan, M. Parashar, and S. Klasky. Enabling High Speed Asynchronous Data Extraction and Transfer Using DART. Concurrency and Computation: Practice and Experience, John Wiley and Sons (Accepted, To Appear), 2010.

E.K. Lee, I. Kulkarni, D. Pompili and M. Parashar. Proactive Thermal Management in Green Datacenters. Journal of Supercomputing, Special Issue on Energy-efficient High-Performance Parallel and Distributed Computing, Springer (Accepted, To Appear), 2010.

J. Cummings, A. Sim, A.J. Shoshani, Jay Lofstead, K. Schwan, C. Docan, M. Parashar, S. Klasky, N. Podhorszki and R. Barreto. EFFIS: an End-to-end Framework for Fusion Integrated Simulation. Proceedings of PDP 2010 - The 18th Euromicro International Conference on Parallel, Distributed and Network-Based Computing, Special session Grid and High Performance Computing for Nuclear Fusion Applications, Pisa, Italy, February 2010.

L. Zhang, C. Docan and M. Parashar. The Seine Data Coupling Framework for Parallel Scientific Applications. Advanced Computational Infrastructures for Parallel and Distributed Applications, M. Parashar, X. Li, S. Chandra, John Wiley and Sons, pp. 283-309, 2010.

I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar, F. Guim, S. Poole. Energy-Efficient Application-Aware Online Provisioning for Virtualized Clouds and Data Centers. IEEE International Green Computing Conference (IGCC), Chicago, IL, USA, August 2010.

F. Guim, J. Corbalan, I. Rodero, M. Parashar. Enabling GPU and Many-Core Systems in Heterogeneous HPC Environments using Memory Considerations. 12th IEEE International Conference on High Performance Computing and Communications (HPCC), Melbourne, Australia, September 2010.

I. Rodero, S. Chandra, M. Parashar, R. Muralidhar, H, Seshadri, S. Poole. Investigating the Potential of Application-Centric Aggressive Power Management for HPC Workloads. 17th IEEE International Conference on High Performance Computing (HiPC), Goa, India, December 2010.

I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar, F. Guim. Towards Energy-Aware Autonomic Provisioning for Virtualized Environments. 19th ACM International Symposium on High Performance Distributed Computing (HPDC), pp. 320-323, Chicago, IL, USA, June 2010.

A. Quiroz, M. Parashar, I. Rodero. Autonomic Management of Distributed Systems using Online Clustering. 6th Workshop on System Management Techniques, Processes, and Services (SMTPS), 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, USA, April 2010.

D. Villegas, I. Rodero, L. Fong, N. Bobroff, Y. Liu, M. Parashar and S.M. Sadjadi. The Role of Grid Computing Technologies in Cloud Computing. Cloud Computing: Methodology, System, and Applications, Handbook of Cloud Computing, ISBN: 978-1-4419-6523-3, Springer, pp. 183-218, 2010.

Siddharth Wagh. Towards Autonomic Virtual Machine Management, October 2010.

G. Zhang and M. Parashar. Cooperative Detection and Protection against Network Attacks Using Decentralized Information Sharing. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Springer Science+Business Media B.V. (Kluwer Academic Publishers), Vol. 13, Issue 1, pp. 67-86, 2010.

I. Rodero, E.K. Lee, D. Pompili, M. Parashar, M. Gamell, R.J. Figueiredo . Exploiting VM Technologies for Reactive Thermal Management in Instrumented Datacenters. Energy Efficient Grids, Clouds and Clusters (E2GC2) Workshop in conjunction with IEEE Grid 2010, pp. 321-328, Brussels, Belguim, October 2010.

2009

X. Li, X. Liu, H. Zhao, H. Zhao, N. Jiang and M. Parashar. ASGrid: Autonomic Management of Hybrid Sensor Grid Systems and Applications. International Journal of Sensor Networks (IJSNet), InderScience Publishers, Vol. 6, Issue 3-4, pp. 234-250, 2009.

M. Parashar, S. Chandra and X. Li. Advanced Computational Infrastructures for Parallel and Distributed Applications, John Wiley and Sons, pp. 518, December 2009.

C. Docan, M. Parashar and C. Marty. Advanced Risk Analytics on the Cell Broadband Engine. 2nd International Workshop on Parallel and Distributed Computing in Finance (PDCoF), in conjunction with the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009), IEEE Computer Society Press, Rome, Italy, May 2009.

N. Jiang and M. Parashar. Enabling End-to-end Data-driven Sensor-based Scientific and Engineering Applications. Proceeding of the Workshop on Dynamic Data-Driven Application Systems (DDDAS '09), in conjunction with the International Conference on Computational Science (ICCS 2009), Springer Verlag, Baton Rouge, Louisiana, USA, May 2009.

H. Kim, Y. el-Khamra, S. Jha and M. Parashar. An Autonomic Approach to Integrated HPC Grid and Cloud Usage. Proceedings of 5 th IEEE International Conference on e-Science (e-Science 2009), Oxford, UK, December 2009.

N. Podhorszki, S. Klasky, Q. Liu, C. Docan, M. Parashar, H. Abbasi, J. Lofstead, K. Schwan, M. Wolf, F. Zheng and J. Cummings. Plasma Fusion Code Coupling using Scalable I/O Services and Scientific Workflows. Proceedings of the 4 th Workshop on Workflows in Support of Large-Scale Science, in conjunction with Supercomputing 2009 (SC09), Portland, OR, USA, November 2009.

S. Jha, D. Katz, M. Parashar, O. Rana and J. Weissman. Critical Perspectives on Large-Scale Distributed Applications and Production Grids. Proceedings of the 10 th IEEE/ACM International Conference on Grid Computing (Grid 2009), pp. 1-8, Banff, Alberta, Canada, October 2009.

S. Klasky et al. High Throughput Data Movement. Scientific Data Management- Challenges, Existing Technologies, and Deployment, Editors: A. Shoshani and D. Rotem, Chapman and Hall. ISBN 9781420069808, pp. 151-180, 2009.

M. Polte, J. Lofstead, J. Bent, G. Gibson, S. A. Klasky, Q. Liu, M. Parashar, K. Schwan and M. Wolf. ...And eat it too: High read performance in write-optimized HPC I/O middleware file formats. Proceedings of the 4 th Petascale Data Storage Workshop, in conjunction with Supercomputing 2009, Portland, OR, USA, November 2009.

N. Jiang and M. Parashar. Enabling Autonomic Power-Aware Management of Instrumented Data Centers. 5th Workshop on High-Performance, Power-Aware Computing (HPPAC 2009), in conjunction with the 23rd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2009), IEEE Computer Society Press, Rome, Italy, May 2009.

A. Quiroz, H. Kim, M. Parashar, N. Gnanasambandam and N. Sharma. Towards Autonomic Workload Provisioning for Enterprise Grids and Clouds. Proceedings of the 10 th IEEE/ACM International Conference on Grid Computing (Grid 2009), pp. 50-57, Banff, Alberta, Canada, October 2009.

S. Jha, M. Parashar and O. Rana. Self-Adaptive Architectures for Autonomic Computational Science. Proceedings of the Self-Organizing Architectures Workshop (SOARS 2009), to be held in conjunction with Working IEEE/IFIP Conference on Software Architecture (WICSA) and European Conference on Software Architecture (ECSA), Cambridge, UK, September 2009.

S. Jha, M. Parashar and O. Rana. Investigating Autonomic Behaviors in Grid-Based Computational Science Applications. Grid Meets Autonomic Computing Workshop (GMAC '09), Proceedings of the 6 th International Conference on Autonomic Computing and Communication, Barcelona, Spain, June 2009.

M. Parashar and J-M Pierson. Pervasive Grids: Challenges and Opportunities. Handbook of Research on Scalable Computing Technologies, K. Li, C. Hsu, Laurence T Yang, J. Dongarra, H Zima, Information Science Reference, IGI Global, 2009.

A. Quiroz and N. Gnanasambandam and M. Parashar and N. Sharma. Robust Clustering Analysis for the Management of Self-Monitoring Distributed Systems. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Kluwer Academic Publishers, (DOI:10.1007/s10586-008-0068- 5), Vol. 12, Issue 1, pp. 73-85, 2009.

M. Wang and M. Parashar. Programming GPU Accelerators with Aspects and Code Transformation. Proceedings of the First Workshop on Programming Models for Emerging Architectures (PMEA), Co-located with the 18 th International Conference on Parallel Architectures and Compilation Techniques (PACT), Computer Society Press, Raleigh, NC, USA, September 2009.

M. Wang, H. Klie, M. Parashar and H. Sudan. Solving Sparse Linear Systems on NVIDIA Tesla GPUs. Proceeding of the Workshop on Using Emerging Parallel Architectures for Computational Science, in conjunction with the International Conference on Computational Science (ICCS 2009), Springer Verlag, Baton Rouge, Louisiana, USA, May 2009.

H. Kim, M. Parashar, D. Foran and L. Yang. Investigating the Use of Cloudbursts for High Throughput Medical Image Registration. Proceedings of the 10 th IEEE/ACM International Conference on Grid Computing (Grid 2009), pp. 34-41, Banff, Alberta, Canada, October 2009.

H. Kim, S. Chaudhari, M. Parashar and C. Marty. Online Risk Analytics on the Cloud. Proceedings of the International Workshop on Cloud Computing (Cloud 2009), in conjunction with 9th IEEE/ACM International Symposium on Cluster Computing (CCGrid 2009), IEEE Computer Society Press, Shanghai, China, May 2009.

M. Majmudar, C. Docan, M. Parashar and C. Marty. Cost vs. Performance of VaR on Accelerator Platforms. Proceedings of the Workshop on High Performance Computational Finance (HPCF), in conjunction with Supercomputing 2009 (SC09), Portland, OR, USA, November 2009.

2008

M. Parashar. Autonomic for Data/Information-Driven Science and Engineering. Invited Seminar, Department of Computer Science, Florida International University, Miami, FL, USA, April 2008.

M. Parashar. Autonomics for Computational Science and Engineering. Invited Presentation. Distributed Programming Abstractions Workshop, Mardi Gras Conference 2008, Distributed Programming Abstractions Workshop, Mardi Gras Conference 2008, Baton Rouge, LA, USA, January 2008.

M. Parashar. Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications. Seminar Series, Department of Computer Science, Watson School of Engineering and Applied Sciences, Binghamton University (State University of New York), Binghamton, NY, USA, March 2008.

N. Jiang and M. Parashar. In-network Data Estimation Mechanisms for Sensor-driven Scientific Applications. Proceedings of the 15th IEEE International Conference on High Performance Computing (HiPC 2008), Editors: P. Sadayappan, M. Parashar, R. Badrinath and V.K. Prasanna, Springer-Verlag, Vol. LNCS 5374, pp. 282-294, Bangalore, India, December 2008.

Z. Li and M. Parashar. Coordination In Grid Environments. VDM Verlag, pp. 128, January 2008.

E. Gallicchio, R. M. Levy and M. Parashar. Asynchronous Replica Exchange for Molecular Simulations. Journal of Computational Chemistry, Vol. 29, pp. 788-794, 2008.

M. Parashar. Computational Support for Dynamic Parallel/Distributed Applications. Distinguished Seminar, CASL, UCD Dublin, Ireland, August 2008.

A. Quiroz, M. Parashar, N. Gnanasambandam and N. Sharma. Clustering Analysis for the Management of Self-Monitoring Device Networks. Proceedings of the 5th IEEE International Conference on Autonomic Computing (ICAC 2008), IEEE Computer Society Press, Chicago, IL, USA, June 2008.

C. Docan, M. Parashar and S. Klasky. Enabling High Speed Asynchronous Data Extraction and Transfer Using DART. Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC), IEEE Computer Society Press, Boston, MA, USA, June 2008.

A. Quiroz and M. Parashar. A Framework for Distributed Content-based Web-Services Notification in Grid Systems. Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications, Vol. 24, Issue 5, pp. 452-459, 2008.

C.S. Chang et al. Toward a first-principles integrated simulations of tokamak edge plasmas. Journal of Physics: Conference Series, 125, IOP Publishers, 2008.

C. Schmidt and M. Parashar. Squid: Enabling Search in DHT-based Systems. Journal of Parallel and Distributed Computing, Elsevier Press, Vol. 68/7, pp. 962-975, 2008.

M. Parashar. Autonomics for Grid Systems and Applications-Addressing Grid Complexity through Self-Management. CoreGRID Symposium, in conjunction with Euro-Par 2008, Las Palmas de Gran Canaria, Canary Island, Spain, August 2008.

N. Jiang, A. Quiroz, C. Schmidta and M. Parashar. Meteor: a middleware infrastructure for content-based decoupled interactions in pervasive grid environments. Concurrency and Computation: Practice and Experience, Vol. 20, Issue 12, pp. 1455-1484, 2008.

J. L. Berral, N. Poggi, J. Alonso, R. Gavalda, J. Torres and M. Parashar. Adaptive Distributed Mechanisms against Flooding Network Attacks Based on Machine Learning. Proceedings of the 1st ACM Workshop on AISec, in conjunction with the 15th ACM Conference on Computer and Communications Security (CCS), Alexandria, VA, USA, October 2008.

M. Parashar. Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications. Seminar Series, Department of Computer Science, Drexel University, Philadelphia, PA, USA, May 2008.

X. Li and M. Parashar. GridMate: A Portable Simulation Environment for Large-Scale Adaptive Scientific Applications. Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), IEEE Computer Society, pp. 82-89, Lyon, France, May 2008.

N. Jiang and M. Parashar. Programming Support for Sensor-based Scientific Applications. Proceedings of the Next Generation Software (NGS) Workshop, In conjunction with the 22nd IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008), IEEE Computer Society Press, Miami, FL, USA, April 2008.

M. Parashar. Scalable Computing Research-Trends, Challenges and Opportunities. 2nd IEEE Doctoral Symposium, 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), Lyon, France, May 2008.

M. Parashar. Autonomic Computing Engines for Internet-Scale Applications. International Workshop on the Challenges of Large Applications in Distributed Environments (CLADE 2008), in conjunction with the 17th International Symposium on High-Performance Distributed Computing (HPDC), IEEE Computer Society Press, Boston, MA, USA, June 2008.

J. Strassner, J. Fleck, D. Lewis, M. Parashar and W. Donnelly. The Role of Standardization in Future Autonomic Communication Systems. Proceedings of the IEEE International Workshop on Engineering on Autonomic and Autonomous Systems, IEEE Computer Society Press, Belfast, Northern Ireland, March-April 2008.

M. Parashar. Autonomics for Grid Systems and Applications. 3rd Workshop on the Use of P2P, GRID and Agents for the Development of Content Networks (UPGRADE-CN'08), in conjunction with the ACM/IEEE International Symposium on High Performance Distributed Computing (HPDC), Boston, MA, USA, June 2008.

S. Klasky, R. Barreto, A. Kahn, M. Parashar, N. Podhorszki, S. Parker, D. Silver and M. A. Vouk. Collaborative Visualization Spaces for Petascale Simulations. Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems (CTS 2008), Irvine, CA, USA, May 2008.

2007

C. Docan, M. Parashar and S. Klasky. High Speed Asynchronous Data Transfers on the Cray XT3. Center for Advanced Information Processing, Rutgers University, TR-284, May 2007.

M. Parashar and J-M. Pierson. When the Grid becomes Pervasive: A Vision on Pervasive Grids. Symposium on Defining the Grid: Experiences and Future Trends, Proceedings of the 8th Hellenic European Research on Computer Mathematics and its Applications Conference (HERCMA 2007), Athens, Greece, September 2007.

V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy and S. Klasky. A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006), IEEE Computer Society Press, pp. 176-183, Barcelona, Spain, September 2007.

V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Klasky and S. Abdelwahed. An Self-Managing Wide-Area Data Streaming Service. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Kluwer Academic Publishers, Vol. 10, Issue 7, pp. 365-383, December 2007.

M. Parashar. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Technical Seminar, ACM Bangalore Chapter, Bangalore, India, December 2007.

L. Zhang and M. Parashar. Shared Memory Multiprocessors. Wiley Encyclopedia of Computer Science and Engineering, B. Wah, John Wiley and Sons, Inc., Vol. 4, pp. 2522-2534, 2007.

S. Chandra, X. Li, T. Saif and M. Parashar. Enabling Scalable Parallel Implementations of Structured Adaptive Mesh Refinement Applications. The Journal of Supercomputing, Vol. 39, Issue 2, pp. 177-203, 2007.

Z. Li and M. Parashar. A Computational Infrastructure for Grid-based Asynchronous Parallel Applications. Proceedings of the 16th International Symposium on High-Performance Distributed Computing (HPDC), IEEE Computer Society Press, Monterey, CA, USA, June 2007.

Z. Li and M. Parashar. Grid-based Asynchronous Replica Exchange. Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (Grid 2007), IEEE Computer Society Press, pp. 193-200, Austin, TX, USA, September 2007.

V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Klasky and S. Abdelwahed. An Autonomic Data Streaming Service. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Springer Netherlands, 2007.

Manish Parashar. Pervasive Computational Ecosystem: Enabling Dynamic Data/Information Driven Science. Research Position Paper, 2007.

T. Kurc, X. Zhang, M. Parashar, H. Klie, M. F. Wheeler, U. Catalyurek and J. Saltz. Dynamic Data-Driven Systems Approach for Simulation based Optimizations. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2007 (ICCS 2007), Editors: Y. Shi et al., Springer Verlag, Vol. LNCS 4487, pp. 1213-1221, Beijing, China, May 2007.

M. Parashar and J-M. Pierson. When the Grid becomes Pervasive: A Vision for Pervasive Grids. Research Position Paper, 2007.

S. Chandra, M. Parashar and J. Ray. Analyzing the Impact of Computational Heterogeneity on Runtime Performance of Parallel Scientific Components. Proceedings of the High Performance Computing Symposium (HPC 2007), SCS Spring Simulation Multconference (SpringSim07), Norfolk, VA, USA, March 2007.

X. Li and M. Parashar. GridMate: A Simulator for Adaptive Runtime Management of Dynamic Applications in Multi-site Grid Systems. Proceedings of the 2007 International Conference on Grid Computing and Applications (GCA 2007), pp. 130-136, Las Vegas, NV, USA, June 2007.

X. Li and M. Parashar. Hybrid Runtime Management of Space-Time Heterogeneity for Dynamic SAMR Applications. IEEE Transactions on Parallel and Distributed Systems, IEEE Computer Society Press, Vol. 18, Issue 8, pp. 1202-1214, August 2007.

M. Parashar. Enabling CyberPhysical Science and Engineering. Invited Presentation. Distributed Programming Abstractions Workshop, UK e-Science Center, Distributed Programming Abstractions Workshop, UK e-Science Center, Edinburgh, UK, October-November 2007.

M. Parashar. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar, Department of Computer and Science, Indiana University, Purdue University, Indianapolis (IUPUI), Indianapolis, IN, USA, March 2007.

Sumir Chandra. A Multiobjective Approach for Addressing Dynamism and Heterogeneity in Parallel Scientific Simulations. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2007.

Vincent Matossian. Analyzing the Impact of Local Perturbations of Network Topologies at the Application-Level. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2007.

M. Parashar. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar, National Institute of Oceanography, Goa, India, December 2007.

V. Bhat, M. Parashar and S. Klasky. Experiments with In-Transit Processing for Data Intensive Grid workflows. Proceedings of the 8th IEEE International Conference on Grid Computing (Grid 2007), IEEE Computer Society Press, pp. 193-200, Austin, Texas, USA, September 2007.

Zhen Li. A Scalable, Decentralized Coordication Infrastructure for Grid Environments. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2007.

M. Parashar. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Telcordia Technologies, Piscataway, NJ, USA, July 2007.

M. Parashar. Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications. HPC Seminar Series, Computational Science and Engineering, College of Computing, Georgia Institute of Technology, Atlanta, GA, USA, January 2007.

2006

M. Parashar. Data-Management in Pervasive Grid Environments - An Applications Perspective. 2nd VLDB Workshop on Data Management in Grids, The 32nd International Conference on Very Large Data Bases (VLDB 2006), Seoul, Korea, September 2006.

M. Parashar. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar, Department of Computer Science, Sogang University, Seoul, Korea, September 2006.

S. Chandra and M. Parashar. Addressing Spatiotemporal and Computational Heterogeneity for Structured Adaptive Mesh Refinement. Computing and Visualization in Science, Vol. 9, Issue 3, pp. 145-163, November 2006.

M. Parashar and S. Hariri. Autonomic Computing: Concepts, Infrastructure and Applications, CRC Press, pp. 568, December 2006.

M. Parashar. Grid and Utility Computing: Do they really mean Pervasive Services?. Panel, The International Conference on Pervasive Services (ICPS 2006), Lyon, France, June 2006.

L. Zhang and M. Parashar. Seine: A Dynamic Geometry-based Shared Space Interaction Framework for Parallel Scientific Applications. Concurrency and Computation: Practice and Experience, Vol. 18, Issue 15, pp. 1951-1973, April 2006.

M. Parashar. Distributed Adaptive and Interactive Simulations using Structured Adaptive Mesh Refinement. 13th SIAM Conference on Parallel Processing and Scientific Computing (PP06), San Francisco, CA, USA, February 2006.

L. Zhang, M. Parashar, E. Gallicchio and R.M. Levy. Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Applications. Proceedings of the 2006 International Conference on Parallel Processing (ICPP-06), IEEE Computer Society Press, pp. 127-134, Columbus, OH, USA, August 2006.

L. Zhang and M. Parashar. Enabling Efficient and Flexible Coupling of Parallel Scientific Applications. Proceedings of the 20th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2006), Rhodes Island, Greece, 2006.

S. Chandra, M. Parashar and J. Ray. Dynamic Structured Partitioning for Parallel Scientific Applications with Pointwise Varying Workloads. Proceedings of the 20th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS'06), Rhodes Island, Greece, April 2006.

L. Zhang and M. Parashar. Experiments with Wide Area Data Coupling Using the Seine Framework. Proceedings of the 13th IEEE International Conference on High Performance Computing (HiPC 2006), Springer-Verlag, pp. 229-241, Bangalore, India, December 2006.

M. Parashar. Information-driven Science and the CyberInfrastructure: Opportunities for Collaboration at Rutgers. Symposium on Information Technology for Research: The Impact of the National Cyberinfrastructure, Rutgers University, Piscataway, NJ, USA, April 2006.

M. Parashar. Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository. Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2006 (ICCS 2006), Reading, UK, May 2006.

M. Parashar. Computational Support for Dynamic Parallel/Distributed Applications. IEEE Distinguished Speaker, IEEE Computer Society - Western Puerto Rico Section and CIAPR - Capitulo de Aguadilla, Aguadilla, PR, August 2006.

M. Parashar. Autonomic Grid Computing and Computational Science. IEEE Distinguished Speaker, IEEE Computer Society - Western Puerto Rico Section and CIAPR - Capitulo de Aguadilla, Aguadilla, PR, August 2006.

M. Parashar. Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Simulations. The 35th International Conference on Parallel Processing (ICPP 2006), Columbus, OH, USA, August 2006.

M. Parashar. Information-driven Science in Pervasive Grid Environments. Keynote, The IEEE International Conference on Pervasive Services (ICPS 2006), Lyon, France, June 2006.

M. Parashar. A Decentralized Content-based Aggregation Service for Pervasive Environments. The International Conference on Pervasive Services (ICPS 2006), Lyon, France, June 2006.

Z. Li and M. Parashar. A Decentralized Computational Infrastructure for Grid-Based Parallel Asynchronous Iterative Applications. Journal of Grid Computing, Special Issue on Global and Peer-to-Peer Computing, pp. 1-18, May 2006.

S. A. Klasky, B. Ludaescher and M. Parashar. The Center for Plasma Edge Simulation Workflow Requirements. Proceedings of IEEE Workshop on Workflow and Data Flow for Scientific Applications (SciFlow 2006), in conjunction with The 22nd International Conference on Data Engineering (ICDE 2006), pp. 73, Atlanta, GA, USA, April 2006.

V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy and S. Abdelwahed. Enabling Self-Managing Applications using Model-based Online Control Strategies. Proceedings of the 3rd IEEE International Conference on Autonomic Computing (ICAC 2006), IEEE Computer Society Press, pp. 15-24, Dublin, Ireland, June 2006.

M. Parashar. Autonomic Grid Computing - Concepts, Requirements, Infrastructures. Autonomic Computing: Concepts, Infrastructure and Applications, Editors: M. Parashar and S. Hariri, CRC Press, pp. 49-70, 2006.

H. Liu and M. Parashar. Accord: A Programming Framework for Autonomic Applications. IEEE Transactions on Systems, Man and Cybernetics, Special Issue on Engineering Autonomic Systems, IEEE Press, Vol. 36, Issue 3, pp. 341-352, 2006.

G. Zhang and M. Parashar. Cooperative Defense against DDoS Attacks. Journal of Research and Practice in Information Technology (JRPIT), Australian Computer Society Inc. (Winner of the Australian Committee on Computation and Automatic Control (ANCCAC) Best Paper Award 2006, Vol. 38, Issue 1, pp. 66-84, February 2006.

Z. Li and M. Parashar. Enabling Dynamic Composition and Coordination of Autonomic Applications using the Rudder Agent Framework. The Knowledge Engineering Review, Cambridge University Press, Vol. 21, Issue 3, pp. 221-230, October 2006.

Z. Li and M. Parashar. An Infrastructure for Dynamic Composition of Grid Service. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006), IEEE Computer Society Press, pp. 315-316, Barcelona, Spain, September 2006.

H. Klie, W. Bangerth, X. Gai, M. F. Wheeler, P. L. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz and T. Kurc. Models, Methods and Middleware for Grid-enabled Multiphysics Oil Reservoir Management. Engineering with Computers, Springer-Verlag, Vol. 22, Issue 3, pp. 349-370, December 2006.

Li Zhang. Enabling Asynchrounous Interaction and Coupling for Parallel Scientific Applications using Decentralized Semantically-specialized Shared Spaces. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2006.

V. Matossian and M. Parashar. Towards Autonomic Control of Network Topologies. Proceedings of the 1st IEEE Workshop on Modeling Autonomic Communication Environments (MACE), 2nd International Week on Management of Networks and Services (Manweek 2006), pp. 235-250, Dublin, Ireland, October 2006.

Malayil Philip George. Enabling Fault-Tolerant Structured Peer-to-Peer Overlays. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2006.

W. Chen, C. Schmidt, M. Parashar, M. Reiss and D. Foran. Decentralized Data Sharing of Tissue Microarrays for Investigative Research in Oncology. Cancer Informatics, Libertas Academica, Vol. 2, pp. 373-388, 2006.

R. Sethuram and M. Parashar. Ant Colony Optimization and its Application to Boolean Satisfiability for Digital VLSI Circuits. International Journal of Information Processing, IK International Publisher [PERFORMANCE], 2006.

V. Matossian and M. Parashar. Grid Computing in the Digital Oil Field. Harts's E and P, Vol. 79, Issue 8, pp. 19-21, August 2006.

R. Sethuram and M. Parashar. Ant Colony Optimization and its Application to Boolean Satisfiability for Digital VLSI Circuits. Proceedings of 14th International Conference on Advanced Computing and Communication (ADCOM 2006), IEEE Computer Society Press, pp. 507-512, Mangalore, India, December 2006.

M. Parashar, H. Liu, Z. Li, V. Matossian, C. Schmidt, G. Zhang and S. Hariri. AutoMate: Enabling Autonomic Grid Applications. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing, Vol. 9, Issue 2, pp. 161-174, 2006.

S. Hariri, B. Khargharia, H. Chen, J. Yang, Y. Zhang, M. Parashar and H. Liu. The Autonomic Computing Paradigm. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Springer Science+Business Media B.V. (Kluwer Academic Publishers), Vol. 9, Issue 1, pp. 5-17, 2006.

M. Parashar, V. Matossian, H. Klie, S.G. Thomas, M.F. Wheeler, T. Kurc, J. Saltz and R. Versteeg. Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2006 (ICCS 2006), Editors: V.N. Alexandrov et al., Vol. LNCS 3993, pp. 384-392, Reading, UK, May 2006.

Guangsen Zhang. Decentralized Information Sharing for Detection and Protection Against Network Attacks. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, January 2006.

M. Parashar, H. Liu, Z. Li, V. Matossian and C. Schmidt. Project AutoMate: Enabling Self-Managing Grid Applications. Advanced Parallel and Distributed Computing, Editors: Y. Dai, R. Raje, and Y. Pan, Nova Science Publishers. ISBN 1-60021-202-6, pp. 121-140, 2006.

N. Jiang, C. Schmidt and M. Parashar. A Decentralized Content-based Aggregation Service for Pervasive Environments. PERSER '06: Proceedings of the 2006 ACS/IEEE International Conference on Pervasive Services, pp. 203-212, Washington, DC, USA, 2006.

L. Zhang and M. Parashar. Shared Memory Multiprocessors. Encyclopedia of Computer Science and Engineering, Editor: B. Wah, John Wiley and Sons, Inc, 2006.

J. Saltz, U. Catalyurek, T. Kurc, M.F. Wheeler, H. Klie, X. Gai, M. Parashar, M. Peszynska, A. Sussman, S. Hastings, S. Langella, S. Narayanan, R. Martino, S. Bryant, M. Beynon, C. Hansen, D. Stredney and D. Sessanna. Driving Science and Engineering Applications by Data in Distributed Environments. Dynamic Data Driven Applications Systems, Editor: F. Darema, Kluwer Academic Publishers, August 2006.

H. Liu and M. Parashar. A Programming System for Autonomic Self-managing Applications. Autonomic Computing: Concepts, Infrastructure and Applications, Editors: M. Parashar and S. Hariri, CRC Press, pp. 211-235, 2006.

V. Bhat, M. Parashar and N. Kandasamy. Autonomic Data Streaming for High Performance Scientific Applications. Autonomic Computing: Concepts, Infrastructure and Applications, Editors: M. Parashar and S. Hariri, CRC Press, pp. 413-433, 2006.

M. Parashar. Autonomic Grid Computing - Concepts, Requirements, Infrastructures. Autonomic Computing: Concepts, Infrastructure and Applications, Editors: M. Parashar and S. Hariri, CRC Press, 2006.

A. Quiroz and M. Parashar. Design and implementation of a Distributed Content-based Notification Broker for WS-Notification. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006), IEEE Computer Society Press, pp. 207-214, Barcelona, Spain, September 2006.

G. Zhang and M. Parashar. SESAME: Scalable, Environment Sensitive Access Management Engine. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Kluwer Academic Publishers, Vol. 9, Issue 2, 2006.

G. Zhang and M. Parashar. Environment Sensitive Access Management for Pervasive Grid Applications. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Vol. 9, Issue 2, 2006.

2005

H. Klie, W. Bangerth, X. Gai, M.F. Wheeler, P.L. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz and T. Kurc. Models, Methods and Middleware for Grid-enabled Multiphysics Oil Reservoir Management. ICES Technical Report Number 05-34, Institute for Computational Engineering and Sciences, The University of Texas at Austin, August 2005.

S. Chandra, M. Parashar and J. Ray. Dynamic Structured Partitioning of Adaptive Applications with Computational Heterogeneity. Center for Advanced Information Processing, Rutgers University, TR-281, December 2005.

M. Parashar. Enabling Next Generation Adaptive and Interactive Computational Science. CERCS Colloquium, Georgia Institute of Technology, Atlanta, GA, USA, December 2005.

M. Parashar. Decentralized Information Sharing in Grid Environments. Invited Seminar, Siemens Corporate Research, Princeton, NJ, USA, January 2005.

M. Parashar. Enabling Next Generation Knowledge-based Data-driven Scientific Investigation. Seminar, Department of Computer Science and Center for Computation and Technology, Louisiana State University, Baton Rouge, LA, USA, February 2005.

Sumir Chandra and Manish Parashar. Dispatch: Dynamic Structured Partitioning for Applications with Computational Heterogeneity. Technical Report Number TR-281, Center for Advanced Information Processing, Rutgers University, December 2005.

M. Parashar. Enabling Next Generation Adaptive and Interactive Computational Science/Computational Support for Dynamic Parallel/Distributed Applications. IEEE Distinguished Speaker, IEEE Computer Society North Jersey Chapter, Morristown, NJ, USA, January 2005.

M. Parashar. The Instrumented Oilfield: Towards Dynamics Data-Driven Optimization of Oil Well Placement. NSF Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2005 (ICCS 2005), Atlanta, USA, May 2005.

M. Parashar. A Decentralized Agent Framework for Dynamic Composition and Coordination for Autonomic Applications. SAACS 2005, Copenhagen, Denmark, August 2005.

M. Parashar. Enabling Self-Management of Component-based High-Performance Scientific Applications. Technical Presentation, CCA Meeting, Saratoga Springs, NY, October 2005.

M. Parashar. Using Clustering to Address Heterogeneity and Dynamism in Parallel Scientific Applications. HiPC , Goa, India, December 2005.

Xiaolin Li. Adaptive Runtime Management of Spatial and Temporal Heterogeity of Dynamic SAMR Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2005.

Cristina Simona Schmidt. Flexible Information Discovery With Guarantees In Decentralized Distributed Systems. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2005.

M. Parashar. Autonomic Oil Reservoir Optimization on the Grid. Eos Trans. AGU, 86(52), Fall Meet, Suppl., Abstract H51J-08, December 2005.

M. Parashar. Autonomic Computing: Concepts, Architecture, Applications. Xerox Research Lab/ISTC, Webster, NY, USA, August 2005.

S. Hariri and M. Parashar. The Foundations of Autonomic Computing. Handbook of Bioinspired Algorithms and Applications, Editor: A. Zomaya and S. Olariu. CRC Press LLC. ISBN 1584884754, pp. 157-175, 2005.

M. Parashar, Z. Li, H. Liu, V. Matossian and C. Schmidt. Enabling Autonomic Grid Applications: Requirements, Models and Infrastructures. Self-Star 2004, Self-Star Properties in Complex Information Systems, Lecture Notes in Computer Science, Editors: O. Babaoglu, M. Jelasity, A. Montresor, C. Fetzer, S. Leonardi, A. van Moorsel, and M. van Steen.Springer Verlag, Vol. LNCS 3460, pp. 273-290, 2005.

Maria Liu. Accord: a programming system for autonomic self-managing applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2005.

S. Chandra, M. Parashar, J. Yang, Y. Zhang and S. Hariri. Investigating Autonomic Runtime Management Strategies for SAMR Applications. International Journal of Parallel Programming, Vol. 33, Issue 2-3, pp. 247-259, June 2005.

M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M Wheeler. Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications, Elsevier Science Publishers, Vol. 21, Issue 1, pp. 19-26, 2005.

T. Kurc, U. Catalyurek, X. Zhang, J. Saltz, M. Peszynska, R. Martino, M. Wheeler, A. Sussman, C. Hansen, M. Sen, R. Seifoullaev, P. Stoffa, C. Torres-Verdin and M. Parashar. A Simulation and Data Analysis System for Large Scale, Data-Driven Oil Reservoir Simulation Studies. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, Issue 11, pp. 1441-1467, September 2005.

M. Parashar, V. Matossian, W. Bangerth, H. Klie, B. Rutt, T. Kurc, U. Catalyurek, J. Saltz and M. Wheeler. Towards Dynamic Data-Driven Optimization of Oil Well Placement. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2005 (ICCS 2005), Editors: V.S. Sunderam et al., Vol. LNCS 3514-3516, pp. 656-663, Atlanta, USA, May 2005.

W. Bangerth, H. Klie, V. Matossian, M. Parashar and M.F. Wheeler. An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Challenges of Large Applications in Distributed Environments (CLADE), Kluwer Academic Publishers, Vol. 8, Issue 4, pp. 255-269, 2005.

M. Parashar, R. Muralidhar, W. Lee, M. Wheeler, D. Arnold and J. Dongarra. Enabling Interactive Oil Reservoir Simulations on the Grid. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, Issue 2, pp. 1-28, 2005.

Z. Li and M. Parashar. Rudder: An Agent-based Infrastructure for Autonomic Composition of Grid Applications. Multiagent and Grid System - An International Journal, IOS Press, Vol. 1, Issue 4, pp. 183-195, 2005.

Z. Li and M. Parashar. A Decentralized Agent Framework for Dynamic Composition and Coordination for Autonomic Applications. Proceedings of the 16th International Workshop on Database and Expert System Applications (DEXA 2005), 3rd International Workshop on Self-Adaptive and Autonomic Computing Systems (SAACS 05), pp. 165-169, Copenhagen, Denmark, August 2005.

H. Liu and M. Parashar. Enabling Self-Management of Component Based High-Performance Scientific Applications. Proceedings of the 14th IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 59-68, Research Triangle Park, NC, USA, July 2005.

H. Liu and M. Parashar. A Framework for Rule-Based Autonomic Management of Parallel Scientific Applications. Proceedings of the 2nd IEEE International Conference on Autonomic Computing (ICAC 2005), IEEE Computer Society, Seattle, WA, USA, June 2005.

G. Zhang and M. Parashar. Cooperative Defense against DDoS Attacks. Proceedings of the 2005 International Conference on Security Management (SAM 05), CSREA Press, Las Vegas, NV, USA, June 2005.

H. Liu, L. Jiang, M. Parashar and D. Silver. Rule-based Visualization in the Discover Computational Steering Collaboratory. Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications, Special Issue on Engineering Autonomic Systems. Elsevier Science, Vol. 21, Issue 1, pp. 53-59, January 2005.

V. Bhat, V. Matossian, M. Parashar, M. Peszynska, M. Sen, P. Stoffa and M. F. Wheeler. Autonomic Oil Reservoir Optimization on the Grid. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, Issue 1, pp. 1-26, January 2005.

S. Klasky, M. Beck, V. Bhat, E. Feibush, B. Ludascher, M. Parashar, A. Shoshani, D. Silver and M. Vouk. Data management on the fusion computational pipeline. Journal of Physics: Conference Series 16, Publisher: IOP press, pp. 510-520, June 2005.

S. Chandra and M. Parashar. Towards Autonomic Application-Sensitive Partitioning for SAMR Applications. Journal of Parallel and Distributed Computing, Vol. 65, Issue 4, pp. 519-531, April 2005.

M. Parashar, W. Lee, M. Wheeler, D. Arnold and J. Dongarra. Interactive and Collaborative Oil Reservoir Simulations on the Grid. Concurrency and Computation: Practice and Experience, Vol. 17, Issue 11, pp. 1387-1414, 2005.

H. Liu, L. Jiang, M. Parashar and D. Silver. Rule-Based Visualization in the Discover Computational Steering Collaboratory. Future Generation Computer Systems - The International Journal of Grid Computing: Theory, Methods and Applications , Elsevier Science Publishers, Vol. 21, Issue 1, pp. 53-59, 2005.

H. Liu and M. Parashar. Rule-Based Monitoring and Steering of Distributed Scientific Applications. International Journal of High Performance Computing and Networking (IJHPCN), Inderscience Publishers, Vol. 3, Issue 4, pp. 272-282, 2005.

J. Yang, H. Chen, S. Hariri and M. Parashar. Autonomic Runtime Manager for Large Scale Adaptive Distributed Application. Proceedings of the 14th IEEE International Symposium on High Performance Distributed Computing HPDC 2005, pp. 69-78, Research Triangle Park, NC, USA, July 2005.

Z. Li and M. Parashar. Comet: A Scalable Coordination Space in Decentralized Distributed Environments. Proceedings of the 2nd International Workshop on Hot Topics in Peer-to-Peer Systems (HOT-P2P 2005), pp. 104-111, San Diego, CA, USA, July 2005.

Z. Li and M. Parashar. Enabling Autonomic Grid Applications: Dynamic Composition, Coordination and Interaction. UPP 2004, Vol. 3566, pp. 260-275, Mont Saint-Michel, France, 2005.

G. Zhang and M. Parashar. Cooperative Defense against Network Attacks. Proceedings of the 3rd International Workshop on Security In Information Systems (WOSIS 2005), 7th International Conference on Enterprise Information Systems (ICEIS 2005), pp. 113-122, Miami, FL, USA, May 2005.

G. Zhang and M. Parashar. c. Journal of Research and Practice in Information Technology (JRPIT), Australian Computer Society Inc., 2005.

H. Liu, V. Bhat, M. Parashar and S. Klasky. An Autonomic Service Architecture for Self-Managing Grid Applications. Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing (Grid 2005), pp. 132-139, Seattle, WA, USA, November 2005.

M. Parashar, W. Lee, M. Wheeler, D. Arnold and J. Dongarra. Enabling Interactive and Collaborative Oil Reservoir Simulations on the Grid. Concurrency and Computation: Practice and Experience, John Wiley and Sons, Vol. 17, Issue 11, pp. 1387-1414, September 2005.

J. Yang, H. Chen, S. Hariri and M. Parashar. Self-Optimizing of Large Scale Wild Fire Simulations. Proceedings of the 5th International Conference on Computational Science (ICCS 2005), Springer-Verlag, Vol. LNCS 3514-3516, pp. 615-622, Atlanta, GA, USA, May 2005.

X. Li and M. Parashar. Adaptive Runtime Management of Spatial and Temporal Heterogeneity for Dynamic Grid Applications. Proceedings of the 13th High Performance Symposium (HPC 2005), SCS Spring Simulation Multiconference, pp. 223-228, San Diego, CA, USA, April 2005.

R. Sterritt, M. Parashar, H. Tianfield and R. Unland. A Concise Introduction to Autonomic Computing. Journal of Advanced Engineering Informatics, Engineering Applications of Artificial Intelligence, Special Issue on Autonomic Computing and Automation, Elsevier Publishers, Vol. 19, Issue 3, pp. 181-187, 2005.

M. Parashar and S. Hariri. Autonomic Computing: An Overview. UPP 2004, Editors: J.-P. Banatre et al., Springer Verlag, Vol. LNCS 3566, pp. 247-259, Mont Saint-Michel, France, 2005.

M. Parashar. Architecture-Aware Autonomic Adaptations within the Common Component Architecture. Minisymposium on Architecture-Aware Parallel Computation, SIAM Conference on Computational Science and Engineering (CSE05), Orlando, FL, USA, February 2005.

X. Li and M. Parashar. Using Clustering to Address the Heterogeneity and Dynamism in Parallel SAMR Application. Proceedings of the 12th International Conference on High Performance Computing (HiPC 2005), pp. 247-257, Goa, India, December 2005.

M. Parashar and J.C. Browne. Conceptual and Implementation Models for the Grid. Proceedings of the IEEE, Special Issue on Grid Computing. IEEE Press, Vol. 93, Issue 3, March 2005.

Richard Strong. Semantic Framework for Story Detection, 2005.

M. Parashar, Z. Li, H. Liu, V. Matossian and C. Schmidt. Enabling Autonomic Grid Applications: Requirements, Models and Infrastructures. Self-Star Properties in Complex Information Systems, Lecture Notes in Computer Science, Springer Verlag, Vol. 3460, 2005.

M. Parashar and C. Lee. Grid Computing. An Evolving Vision. Proceedings of the IEEE, Special Issue on Grid Computing. IEEE Press, Vol. 93, Issue 3, pp. 479-484, March 2005.

M. Parashar and C. Lee. Grid Computing - Introduction and Overview. Proceedings of the IEEE, Special Issue on Grid Computing. IEEE Press, Vol. 93, Issue 3, March 2005.

2004

L. Zhang and M. Parashar. A Dynamic Geometry-Based Shared Space Interaction Framework for Parallel Scientific Applications. Proceedings of the 11th International Conference on High Performance Computing, Vol. 3296, pp. 189-199, Bangalore, India, December 2004.

N. Jiang, C. Schmidt, V. Matossian and M. Parashar. Project METEOR: A Content-based Middleware for Decoupled Interactions in Pervasive Environments. Wireless Information Network Laboratory (WINLAB), Rutgers University, 2004.

N. Jiang, C. Schmidt, V. Matossian and M. Parashar. Content-based Middleware for Decoupled Interactions in Pervasive Envionments. Technical Report Number-252, Wireless Information Network Laboratory (WINLAB), Rutgers University, April 2004.

C. Schmidt and M. Parashar. A Peer-to-Peer Approach to Web Service Discovery. World Wide Web Journal, Vol. 7, Issue 2, pp. 211-229, June 2004.

C. Schmidt and M. Parashar. Enabling Flexible Queries with Guarantees in P2P Systems. IEEE Internet Computing, Special issue on Data Dissemination on the Web, Vol. 8, Issue 3, pp. 19-26, May/June 2004.

⇗

S. Chandra and M. Parashar. Distributed Shared Memory Tools. Tool and Environments for Parallel and Distributed Computing, Editors: S. Hariri and M. Parashar. John Wiley and Sons. ISBN 0-471-33288-7, pp. 57-78, February 2004.

C. Schmidt, M. Parashar, W. Chen and D. Foran. Engineering A Peer-to-Peer Collaboratory for Tissue Microarray Research. Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments CLADE 2004, pp. 64-73, Honolulu, HI, USA, June 2004.

M. Parashar, Z. Li, H. Liu, C. Schmidt, V. Matossian and N. Jiang. Autonomic Computing: Models, Architectures and Infrastructures. Proceedings of the European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms, pp. 157-164, Mont Saint-Michel, France, September 2004.

C. Schmidt and M. Parashar. Peer to Peer Information Storage and Discovery Systems. Peer-to-Peer Computing: Evolution of a Disruptive Technology, Editors: R. Subramaniam and B.D. Goodman. Idea Group Publishing, pp. 79-112, May 2004.

G. Qu, S. Hariri, X. Zhu, J Jin, M. Yousif and M. Parashar. Multivariate Statistical Online Analysis for Self Protection against Network Attacks. Proceedings of the IEEE International Conference on Information and Computer Science (ICICS 2004), Dhahran, Saudi Arabia, November 2004.

G. Qu, S. Hariri, S. Jangiti, J. Rudraraju, S. Oh, S. Fayssal, G. Zhang and M. Parashar. Online Monitoring and Analysis for Self-Protection against Network Attacks. Proceedings of 1st IEEE International Conference on Autonomic Computing (ICAC-04), pp. 324-325, New York, NY, USA, May 2004.

N. Jiang and M. Parashar. Enabling Applications in Sensor-Based Pervasive Environments. Proceedings of BROADNETS 2004: Workshop on Broadband Advanced Sensor Networks BaseNets, San Jose, CA, USA, October 2004.

V. Bhat, S. Klasky, S. Atchley, M. Beck, D. McCune and M. Parashar. High Performance Threaded Data Streaming for Large Scale Simulations. Proceedings of 5th International Workshop on Grid Computing (Grid 2004), pp. 243-250, Pittsburgh, PA, November 2004.

Y. Zhang, S. Chandra, J. Yang, S. Hariri and M. Parashar. Autonomic Proactive Runtime Partitioning Strategies for SAMR Applications. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 18th International Parallel and Distributed Processing Symposium, IEEE Computer Society Press, pp. 8, Santa Fe, NM, USA, April 2004.

S. Chandra, X. Li and M. Parashar. Engineering an Autonomic Partitioning Framework for Grid-based SAMR Applications. High Performance Scientific and Engineering Computing: Hardware/Software Support, Editors: L. T. Yang and Y. Pan. Kluwer Academic Publishers. ISBN: 104920-7580-4, pp. 169-187, March 2004.

S. Hairi and M. Parashar. Parallel and Distributed Computing: Approaches, Issues, and Challenges. Tool and Environments for Parallel and Distributed Computing, Editors: S. Hariri and M. Parashar. John Wiley and Sons. ISBN 0-471-33288-7, pp. 1-10, February 2004.

Z. Li, H. Liu and M. Parashar. Enabling Autonomic Self-Managing Grid Applications. Self-Properties in Complex Information Systems, Springer Verlag, Bertinoro, Italy, May-June 2004.

M. Parashar. An Autonomic Reservoir Framework. Minisymposium on Reservoir Simulation in the 21st Century, 2004 SIAM Annual Meeting (AN 2004), Portland, OR, USA, July 2004.

V. Matossian, M. Parashar, W. Bangerth, H. Klie and M.F. Wheeler. Parallel Well Location Optimization using Stochastic Algorithms on the Grid. Proceedings of the 9th European Conference on the Mathematics of Oil Recovery - ECMOR IX, Cannes, France, August-September 2004.

M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M. Wheeler. Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2004 (ICCS 2004), Krakow, Poland, June 2004.

M. Parashar. Autonomic, Architecture-Aware Runtime Management of Parallel Adaptive Applications. Minisymposium on Architecture-Aware Parallel Computation, 11th SIAM Conference on Parallel Processing and Scientific Computing (PP04), San Francisco, CA, USA, February 2004.

Taher Saif. Architecture Specific Comunication Optimizations for Structured Adaptative Mesh-Refinement Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, January 2004.

H. Liu, M. Parashar and S. Hariri. A Component-based Programming Framework for Autonomic Applications. Proceedings of the 1st IEEE International Conference on Autonomic Computing (ICAC-04), pp. 278-279, New York, NY, USA, May 2004.

Venkatesh Putty. Snap: A Local, Asynchronous Interaction Framework for Pervasive Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2004.

J. D. Teresco, J. E. Flaherty, S. B. Baden, J. Faik, S. Lacour, M. Parashar, V. E. Taylor and C. Varela. Approaches to Architecture-Aware Parallel Scientific Computation. Proc. PP04: Frontiers of Scientific Computing, Siam Press. (Also available as Williams College Department of Computer Science Technical Report CS-04-09, 2004.), 2004.

V. Matossian, M. Parashar, W. Bangerth, H. Klie and M.F. Wheeler. An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Kluwer Academic Publishers, March 2004.

Shuang Zhang. Adaptive Mesh Refinement and Visiometrics in Accelerated Inhomogeneous Flows. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, January 2004.

C. Schmidt and M. Parashar. Analyzing the Search Characteristics of Space Filling Curve-based Indexing within Squid P2P Data Discovery System. Technical Report Number TR-276, Center for Advanced Information Processing, Rutgers University, November 2004.

S. Chandra and M. Parashar. A Simulation Framework for Evaluating the Runtime Characteristics of Structured Adaptive Mesh Refinement Applications. Technical Report Number TR-275, Center for Advanced Information Processing, Rutgers University, September 2004.

G. Zhang and M. Parashar. Cooperative Mechanism against DDoS Attacks. Proceedings of the IEEE International Conference on Information and Computer Science (ICICS 2004), Dhahran, Saudi Arabia, November 2004.

Dhaval Kapadia. A Regression Testing System for Grid Adaptive Computation Engine. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, April 2004.

Z. Li and M. Parashar. Rudder: A Rule-based Multi-agent Infrastructure for Supporting Autonomic Grid Applications. 1st IEEE International Conference on Autonomic Computing (ICAC-04), pp. 10-17, New York, NY, USA, May 2004.

N. Jiang, C. Schmidt, V. Matossian and M. Parashar. Opportunistic Applications in Pervasive Environments. 1st IEEE/ACM International Conference on Pervasive Services (ICPS 2004), Beirut, Lebanon, July 2004.

Z. Li and M. Parashar. Rudder: An Agent-based Coordination Middleware for Self-managing Grid Applications. Technical Report Number TR-279, Center for Advanced Information Processing, Rutgers University, November 2004.

G. Zhang and M. Parashar. Context-aware Dynamic Access Control for Pervasive Applications. Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2004), 2004 Western MultiConference (WMC), Society for Modeling and Simulation International (SCS), San Diego, CA, USA, January 2004.

S. Hairi and M. Parashar. Software Development for Parallel and Distributed Computing. Tool and Environments for Parallel and Distributed Computing, Editors: S. Hariri and M. Parashar. John Wiley and Sons. ISBN 0-471-33288-7, pp. 189-207, February 2004.

M. Parashar. Opportunistic Applications in Pervasive Environments. 1st IEEE/ACM International Conference on Pervasive Services (ICPS 2004), July 2004.

M. Parashar. An Autonomic Reservoir Framework. Minisymposium on Reservoir Simulation in the 21st Century, 2004 SIAM Annual Meeting (AN 2004), Portland, OR, USA, July 2004.

C. Schmidt and M. Parashar. Content-based Middleware for Sensor-based Pervasive Environments. Panasonic Digital Networking Laboratory, Princeton, NJ, USA, June 2004.

L. Zhang and M.Parashar. A Dynamic Geometry-based Shared Space Interaction Framework for Parallel Scientific Applications. Proceedings of the 11th Annual International Conference on High Performance Computing (HiPC 2004), Bangalore, India, December 2004.

M. Parashar. Autonomic Computing: Models, Architectures and Infrastructures. European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms, Mont Saint-Michel, France, September 2004.

V. Bhat and M. Parashar. A Middleware Substrate for Integrating Services on the Grid. Journal of Supercomputing, Special Issue on Infrastructures and Applications for Cluster and Grid Computing Environments, January 2004.

M. Parashar. A High Performance Shared Information Space Model for Parallel Scientific Applications. 11th International Conference on High Performance Computing (HiPC 2004), Bangalore, India, December 2004.

Dennis Paul. Dependency-Based Approach to Relational Query Estimation, 2004.

M. Parashar. Autonomic Computing: Foundations for a New Era in Computing. European Commission - US National Science Foundation Strategic Research Workshop on Unconventional Programming Paradigms: Challenges, Visions and Research Issues for New Programming Paradigms, Mont Saint-Michel, France, September 2004.

X. Li and M. Parashar. Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement Applications. Journal of Supercomputing, Vol. 28, Issue 3, pp. 265-278, 2004.

T. Saif and M. Parashar. Understanding the Behavior and Performance of Non-blocking Communications in MPI. Proceedings of the 9th International Euro-Par Conference (Euro-Par 2004), Springer-Verlag, Vol. LNCS 3149, pp. 173-182, Pisa, Italy, August 2004.

N. Jiang. Opportunistic Applications Flows in Sensor-based Pervasive Environments. Technical Presentation, WINLAB Research Review, Rutgers University, Piscataway, NJ, USA, May 2004.

M. Parashar. Grid Computing: An Evolving Vision. Avaya Labs Research, Basking Ridge, NJ, USA, March 2004.

M. Parashar. Grid Computing: An Evolving Vision. Science on Saturdays, Princeton University Plasma Physics Laboratory Lecture Series, Princeton, NJ, USA, February 2004.

T. Raja and M. Parashar. Using a Jini based Desktop Grid for Test Vector Compaction and a Refined Economic Model. Poster Publication, 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid2004), Chicago, IL, USA, April 2004.

S. Hariri and M. Parashar (Ed.). Tools and Environments for Parallel and Distributed Computing. Wiley Book Series on Parallel and Distributed Computing, John Wiley and Sons. ISBN 0-471-33288-7, pp. 212, 2004.

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H. Liu. A Component Based Programming Framework for Autonomic Applications. 1st IEEE International Conference on Autonomic Computing (ICAC 2004), pp. 278-279, New York, NY, USA, May 2004.

L Jiang, H. Liu, M. Parashar and D. Silver. Rule-based Visualization in a Computational Steering Collaboratory. Proceedings of the International Workshop on Programming Paradigms for Grid and Metacomputing Systems, International Conference on Computational Science 2004 (ICCS 2004), Krakow, Poland, June 2004.

M. Mahajan, A. Ramanathan and M. Parashar. Active Resource Management for the Differentiated Services Environment. International Journal of Network Management, Vol. 14, Issue 3, pp. 149-165, May/June 2004.

2003

M. Parashar. AutoMate: Enabling Autonomic Applications. IBM Visit, Rutgers University, NJ, USA, November 2003.

M. Parashar. Computational Support for Adaptive Parallel/Distributed Applications. Workshop on Adaptive Parallel Computing, Hohenwart Forum, Germany, November 2003.

M. Parashar. Autonomic Grid Computing. Technical Presentation, CAIP Annual Research Review, Rutgers University, Piscataway NJ, USA, November 2003.

Rangini Chowdhury. Adaptive QoS Management Framework for Collaborative Multimedia Applications on Wired and Wireless Networks. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2003.

Viraj Bhat. Middleware Architecture for Integrating Services on the Grid. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2003.

J. Batheja and M. Parashar. A Framework for Adaptive Cluster Computing using JavaSpaces. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Vol. 6, Issue 3, pp. 201-213, 2003.

M. Parashar. Enabling Autonomic Applications on the ORBIT Testbed. Technical Presentation, WINLAB IAB Meeting, Rutgers University, Piscataway, NJ, USA, November 2003.

Dan Davis. Content-Based Event Routing with Filter Propagation. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2003.

Jyot Desai. Interfacing Geographic Information Systems and Traffic Software. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, Prof. K. Ozbay, co-advisor, May 2003.

M. Agarwal, V. Bhat, Z. Li, H. Liu, B. Khargharia, V. Matossian, V. Putty, C. Schmidt, G. Zhang, S. Hariri and M. Parashar. AutoMate: Enabling Autonomic Applications on the Grid. Proceedings of the Autonomic Computing Workshop, 5th Annual International Active Middleware Services Workshop (AMS2003), pp. 48-57, Seattle, WA, USA, June 2003.

Manjot Dhillon. Event Based Architecture for Interactive Computational Collaboratories. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2003.

X. Li and M. Parashar. Dynamic Load Partitioning Strategies for Managing Data of Space and Time Heterogeneity in Parallel SAMR Applications. Proceedings of 9th International Euro-Par Conference (Euro-Par 2003), Lecture Notes in Computer Science, Vol. 2790, pp. 181-188, Klagenfurt, Austria, August 2003.

C. Schmidtt and M. Parashar. Scalable Keyword Searches with Guarantees in Peer-to-Peer Storage System. Technical Report Number TR-266, Center for Advanced Information Processing, Rutgers University, September 2003.

B. Khargharia. vGrid: A Framework for Development and Execution of Autonomic Grid Applications. Autonomic Applications Workshop, 10th International Conference on High Performance Computing (HiPC 2003), Hyderabad, India, December 2003.

M. Agarwal, V. Bhat, Z. Li, H. Liu, V. Matossian, V. Putty, C. Schmidt, G. Zhang and M. Parashar. AutoMate: Enabling Autonomic Grid Applications. Technical Report Number TR-269, Center for Advanced Information Processing, Rutgers University, April 2003.

C. Schmidt and M. Parashar. SQUID: A Decentralized Discovery Service. CAIP Update, Center for Advanced Information Processing, Rutgers University, Vol. 15, Issue 1, 2003.

H. Zhu, M. Parashar, J. Yang, Y. Zhang, S. Rao and S. Hariri. Self-Adapting, Self-Optimizing Runtime Management of Grid Applications using PRAGMA. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 17th. International Parallel and Distributed Processing Symposium, IEEE Computer Society Press, pp. 7, Nice, France, April 2003.

S. Hariri and M. Parashar. Grid: An Autonomic Runtime System for Grid Applications. 12th International Symposium on High Performance Distributed Computing, Seattle, WA, USA, June 2003.

Guangsen Zhang. Dynamic Context Aware Access Control for Grid Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, December 2003.

V. Bhat and M. Parashar. A Middleware Substrate for Integrating Serivces on the Grid. Session VIII Grid Applications and Architecture Support, 10th International Conference on High Performance Computing (HiPC 2003), Hyderabad, India, December 2003.

G. Zhang. Dynamic Context-aware Access Control for Grid Applications. 4th International Workshop on Grid Computing (Grid 2003), Phoenix, AZ, USA, November 2003.

Preeti Mehra. Interaction Streams - An Approach for Workspace Management in Collaborative Environments. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2003.

M. Agarwal. Synthesizing Autonomic Compositions in Grid Environments. 4th International Workshop on Grid Computing (Grid 2003), Phoenix, AZ, USA, November 2003.

Hilda Klasky. A Study of Software Metrics. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2003.

Manish Agarwal. Synthesizing Autonomic Compositions in Grid Environment. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2003.

M. Parashar. Autonomic Computational Science and Engineering (Autonomic Computing : An Applications Perspective). Workshop on Emerging and Future Computing Paradigms and their Impact on the Research, Training and Design Environments of the Aerospace Workforce, NASA Langley Research Center, NASA/CP-2003-212436, Hampton, VA, USA, August 2003.

Vincent Matossian. Enabling Peer-to-Peer Interactions on the Grid. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2003.

M. Agarwal and M. Parashar. Enabling Autonomic Compositions in Grid Environments. Proceedings of the 4th International Workshop on Grid Computing (Grid 2003), pp. 34-41, Phoenix, AZ, USA, November 2003.

M. Agarwal, V. Bhat, V. Matossian and M. Parashar. Autonomic and Interactive Data-Driven Simulations using Discover. Minisymposium on Electronic Fields of the Future: Mathematical and Computational Challenges, SIAM Conference on Mathematical and Computational Issues in the Geosciences (GS03), Austin, TX, USA, March 2003.

C. Schmidt and M. Parashar. Flexible Information Discovery in Decentralized Distributed Systems. Proceedings of the 12th International Symposium on High Performance Distributed Computing, pp. 226-235, Seattle, WA, USA, June 2003.

C. Schmidt and M. Parashar. A Peer to Peer Approach to Web Service Discovery. Proceedings of the 2003 International Conference on Web Service ICWS '03, Computer Science Research, Education and Applications (CSREA), Las Vegas, NV, USA, 2003.

R. Muralidhar and M. Parashar. A Distributed Object Infrastructure for Interaction and Steering. Concurrency and Computation: Practice and Experience, Special Issue Euro-Par 2001. Editors: R. Sakellariou, J. Gurd, John Wiley and Sons, Vol. 15, Issue 10, pp. 957-977, 2003.

V. Bhat and M. Parashar. Discover Middleware Substrate for Integrating Services on the Grid. Proceedings of the 10th International Conference on High Performance Computing (HiPC 2003), Vol. 2913, pp. 373-382, Hyderabad, India, December 2003.

P. Mehra and M. Parashar. Enabling Interactive and Collaborative Computational Science on the Grid. Proceedings of the 1st International Workshop on Web-based Collaboratories (Wbc-2003), IADIS International Conference WWW/Internet 2003, Algarve, Portugal, November 2003.

Q. Lu, M. Parashar, M. Peszynska and M. Wheeler. Parallel Implementation of Multiphysics Multiblock Formulations for Multiphase Flow in the Subsurface. Technical Report, Center for Advanced Information Processing, Rutgers University, March 2003.

C. Schmidt and M. Parashar. A Peer-to-Peer Approach to Web service Discovery. Center for Advanced Information Processing, Rutgers University, TR-271, May 2003.

G. Zhang and M. Parashar. Dynamic Context-aware Access Control for Grid Applications. Proceedings of the 4th International Workshop on Grid Computing (Grid 2003), pp. 101-108, Phoenix, AZ, USA, November 2003.

H. Liu and M. Parashar. DIOS++: A Framework for Rule-Based Autonomic Management of Distributed Scientific Applications. Proceedings of the 9th International Euro-Par Conference (Euro-Par 2003), Lecture Notes in Computer Science. Editors: H. Kosch, L. Boszormenyi, H. Hellwagner, Springer-Verlag, Vol. 2790, pp. 66-73, Klagenfurt, Austria, August 2003.

M. Parashar. Project AutoMate: Autonomic Computational Science and Engineering on the Grid. Center for Advanced Information Processing, Rutgers University, Issue 4, 2003.

B. Khargharia, S. Hariri and M. Parashar. vGrid: A Framework for Building Autonomic Applications. CLADE '03: Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments, pp. 19-26, Seattle, WA, USA, June 2003.

V. Matossian and M. Parashar. Autonomic Optimization of an Oil Reservoir using Decentralized Services. Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing - Challenges for Large Applications in Distributed Environments (CLADE 2003), pp. 2-9, Seattle, WA, USA, June 2003.

V. Matossian and M. Parashar. Enabling Peer-to-Peer Interactions for Scientific Applications on the Grid. Proceedings of the 9th International Euro-Par Conference (Euro-Par), Vol. 2790, pp. 1240-1247, Klagenfurt, Austria, August 2003.

B. Khargharia, S. Hariri, B. Kim, M. Zhang, P. Vadlamani and M. Parashar. vGrid: A Framework for Development and Execution of Autonomic Grid Applications. New Frontiers in High-Performance Computing, Proceedings of the Autonomic Applications Workshop, 10th International Conference on High Performance Computing (HiPC 2003), pp. 269-285, Hyderabad, India, December 2003.

H. Zhu, M. Parashar, J. Yang, Y. Zhang, S. Rao and S. Hariri. Self Adapting, Self Optimizing Runtime Management of Grid Applications using PRAGMA. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 17th International Parallel and Distributed Processing Symposium, Nice, France, April 2003.

V. Safronov and M. Parashar. Page Rank Prefetching for Optimizing Access to Web Page Clusters. Information Sciences Journal, Elsevier Science Publishers, Vol. 150, Issue 3-4, pp. 165-176, April 2003.

M. Parashar. Computational Support for Adaptive Parallel/Distributed Applications. Workshop on Adaptive Parallel Computing, Hohenwart Forum, Germany, November 2003.

V. Mann and M. Parashar. DISCOVER: A Computational Collaboratory for Interactive Grid Applications. Grid Computing: Making the Global Infrastructure a Reality, Editors: Fran Berman, Geoffrey Fox and Tony Hey. John Wiley and Sons. ISBN: 0-470-85319-0, pp. 727-744, January 2003.

M. Parashar. GridARM: An Autonomic Runtime Management Framework for SAMR Applications in Grid Environments. Autonomic Applications Workshop, 10th International Conference on High Performance Computing (HiPC 2003), Hyderabad, India, December 2003.

M. Parashar. Autonomic Computing and Subsurface Modeling and Simulations. Industrial Affiliates Workshop, Center for Subsurface Modeling, ICES, University of Texas at Austin, Austin, TX, October 2003.

V. Safronov and M. Parashar. Page Rank Prefetching for Optimizing Access to Web Page Clusters. Information Sciences Journal, Vol. 150, Issue 3-4, pp. 165-176, April 2003.

M. Parashar. Project AutoMate: Enabling Dynamic Data-Driven Applications and Systems. DDDAS Panel, 17th ACM/SIGARCH Annual International Conference on Supercomputing, San Francisco, CA, USA, June 2003.

C. Schmidt. Flexible Information Discovery in Decentralized Distributed Systems. 12th International Symposium on High Performance Distributed Computing, Seattle, WA, USA, June 2003.

V. Matossian. Autonomic Optimization of an Oil Reservoir using Decentralized Services. 1st International Workshop on Challenges for Large Applications in Distributed Environments (CLADE 2003), Seattle, WA, USA, June 2003.

B. Khargharia. vGrid: A Framework for Building Autonomic Applications. 1st International Workshop on Challenges for Large Applications in Distributed Environments (CLADE 2003), Seattle, WA, USA, June 2003.

N. Prabhavalkar and M. Parashar. Controlling Unresponsive Connections in an Active Network Architecture. International Journal of Network Management, Vol. 13, Issue 4, pp. 289-305, 2003.

M. Parashar. AutoMate: Enabling Autonomic Applications on the Grid. Autonomic Computing Workshop, 5th Annual International Active Middleware Services Workshop (AMS2003), Seattle, WA, USA, June 2003.

M. Parashar. Grid Computing-An Overview (My View). Technical Presentation, Informatics Track, The Laboratory Robotics Interest Group, Mid Atlantic Chapter Meeting, Somerset, NJ, USA, September 2003.

S. Chandra, M. Parashar and S. Hariri. GridARM: An Autonomic Runtime Management Framework for SAMR Applications in Grid Environments. New Frontiers in High-Performance Computing, Proceedings of the Autonomic Applications Workshop 10th International Conference on High Performance Computing (HiPC 2003), pp. 286-295, Hyderabad, India, December 2003.

M. Mahajan and M. Parashar. Managing QoS for Multimedia Applications in the Differentiated Services Environment. Journal of Network and Systems Management, Vol. 11, Issue 4, pp. 469-498, December 2003.

M. Parashar. Autonomic Applications for Pervasive Environments. Technical Presentation, WINLAB Research Review, Rutgers University, Piscataway, NJ, USA, May 2003.

M. Parashar. Project AutoMate: Autonomic Computational Science and Engineering on the Grid. CAIP Update, Center for Advanced Information Processing, Rutgers University, Vol. 14, Issue 4, 2003.

M. Parashar. Towards Autonomic Simulations on the Grid. Seminar, Computing Sciences Research, Bell Labs, Lucent Technologies, Murray Hill, NJ, USA, March 2003.

C. Schmidt and M. Parashar. A Dimension Reducing Indexing Scheme for Guaranteed Keyword Searches in Peer-to-Peer Storage System. 23rd International Conference on Distributed Computing Systems, Providence, RI, USA, May 2003.

J. Chen, D. Silver and M. Parashar. Real Time Feature Extraction and Tracking in a Computational Steering Environment. Proceedings of the High Performance Computing Symposium (HPC2003), Society for Modeling and Simulation International, pp. 155-160, San Diego, CA, USA, 2003.

M. Parashar. Autonomic Computational Science and Engineering (Autonomic Computing - An Applications Perspective). Workshop on Emerging and Future Computing Paradigms and their Impact on the Research, Training and Design Environments of the Aerospace Workforce, NASA Langley Research Center, Hampton, VA, USA, March 2003.

M. Parashar. Self-Adapting, Self-Optimizing Runtime Management of Grid Applications using PRAGMA. NSF Next Generation Systems Program Workshop, IEEE/ACM International Parallel and Distributed Processing Symposium, Nice, France, April 2003.

V. Matossian and M. Parashar. Autonomic Optimization of an Oil Reservoir using Decentralized Services. Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing- Challenges for Large Applications in Distributed Environments (CLADE 2003), Computer Society Press, pp. 2-9, Seattle, WA, USA, June 2003.

C. Schmidt and M. Parashar. A Peer-to-Peer Approach to Web service Discovery. Technical Report Number TR-271, Center for Advanced Information Processing, Rutgers University, May 2003.

M. Parashar. Autonomic Grid Computing. Technical Presentation, CAIP Industrial Advisory Board Meeting, Rutgers University, Piscataway, NJ, USA, May 2003.

2002

R. Chowdhary, P. Bhandarkar and M. Parashar. Adaptive QoS Management for Collaboration in Heterogeneous Environments. Proceedings of the 16th. International Parallel and Distributed Computing Symposium (IEEE, ACM), 11th. Heterogeneous Computing Workshop, Vol. IEEE Computer Society Press, pp. 8, Fort Lauderdale, FL, USA, April 2002.

J. Steensland, S. Chandra and M. Parashar. An Application-Centric Characterization of Domain-Based Inverse Space-Filling Curve Partitioners for Parallel SAMR Applications. IEEE Transactions on Parallel and Distributed Systems, Vol. 13, Issue 12, pp. 1275-1289, December 2002.

M. Dwivedula, S. Hariri and M. Parashar. A Software Design Model for Parallel Applications on Heterogeneous System. Proceedings of the 16th International Parallel and Distributed Computing Symposium (IEEE, ACM), 11th Heterogeneous Computing Workshop, CDROM, IEEE Computer Society Press, pp. 9, Fort Lauderdale, FL, USA, April 2002.

P. Bhandarkar and M. Parashar. A Framework for Enabling Collaboration over Heterogeneous Networks. Proceedings of the 4th Workshop on Information and Computer Science, IEEE Computer Society Press, pp. 435-449, Dhahran, Saudi Arabia, March 2002.

M. Parashar and S. Hariri. PRAGMA: An Infrastructure for Runtime Management of Grid Applications. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 16th International Parallel and Distributed Processing Symposium, CDROM, IEEE Computer Society Press, pp. 8, Fort Lauderdale, FL, USA, April 2002.

Sumir Chandra. ARMaDA: A Framework for Adaptive Application-Sensitive Runtime Management of Dynamic Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2002.

V. Mann and M. Parashar. Engineering an Interoperable Computational Collaboratory on the Grid. Concurrency and Computation: Practice and Experience, Special Issue on Grid Computing Environments, Vol. 14, Issue 13-15, pp. 1569-1593, 2002.

Ananth Ramanathan. Active Resource Management for the Differentiated Services Environment. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2002.

S. Chandra and M. Parashar. Application Sensitive Performance Management for SAMR Applications. Research poster at ASCI/ASAP Research Review, DOE ASCI/ASAP Center of Excellence, California Institute of Technology, Pasadena, CA, USA, October 2002.

V. Safronov and M. Parashar. Using Page Rank Prefetching for Clustered Web Accesses. Proceedings of the 4th Workshop on Information and Computer Science, IEEE Computer Society Press, pp. 451-465, Dhahran, Saudi Arabia, March 2002.

V. Safronov and M. Parashar. Using Page Rank Prefetching for Clustered Web Accesses. Proceedings of the 4th Workshop on Information and Computer Science, pp. 451-465, Dhahran, Saudi Arabia, March 2002.

V. Safronov and M. Parashar. Optimizing Web Servers Using Page Rank Prefetching for Clustered Accesses. World Wide Web, Internet and Web Information Systems, Vol. 5, Issue 1, pp. 25-40, June 2002.

M. Mahajan and M. Parashar. Managing QoS for Multimedia Applications in a Differentiated Services Environment. Proceedings of the 4th Annual International Workshop on Active Middleware Services, pp. 83-90, Edinburgh, Scotland, UK, July 2002.

V. Safronov and M. Parashar. Optimizing Web Servers Using Page Rank Prefetching for Clustered Accesses. World Wide Web, Internet and Web Information Systems, Kluwer Academic Publishers, Vol. 5, Issue 1, pp. 25-40, June 2002.

S. Sinha and M. Parashar. Adaptive System-Sensitive Partitioning of AMR Applications on Heterogeneous Clusters. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Vol. 5, Issue 4, pp. 343-352, 2002.

Manish Mahajan. Content Aware QoS Management for Multimedia Applications in a Differentiated Services Environment. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2002.

X. Li, S. Ramanathan and M. Parashar. Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement (SAMR) Applications. Proceedings of the 2002 International Conference on Parallel Processing (ICPP 2002), 4th Workshop on High Performance Scientific and Engineering Computing Applications (HPSECA-02), pp. 336-343, Vancouver, British Columbia, Canada, August 2002.

M. Parashar, G. von Laszewski, S. Verma, J. Gawor, K. Keahey and N. Rehn. A CORBA Commodity Grid Kit. Concurrency and Computation: Practice and Experience, Special Issue on Grid Computing Environments, Vol. 14, Issue 13-15, pp. 1057-1074, 2002.

S. Chandra and M. Parashar. ARMaDA: An Adaptive Application-Sensitive Partitioning Framework for SAMR Applications. Proceedings of the 14th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2002), pp. 446-451, Cambridge, MA, USA, November 2002.

S. Chandra, S. Sinha, M. Parashar, Y. Zhang, Y. Yang and S. Hariri. Adaptive Runtime Management of SAMR Applications. Proceedings of the 9th International Conference on High Performance Computing (HiPC 2002), Lecture Notes in Computer Science, Vol. 2552, pp. 564-574, Bangalore, India, December 2002.

D. Davis and M. Parashar. Latency Performance of SOAP Implementations. Proceedings of the 2nd IEEE/ACM Symposium on Cluster Computing and the Grid, Workshop on Global and Peer-to-Peer on Large Scale Distributed Systems, pp. 407-412, Berlin, Germany, May 2002.

M. Kelaskar, V. Matossian, P. Mehra, D. Paul, A. Vaidhyanathan and M. Parashar. A Study of Discovery Mechanisms For Peer-to-Peer Applications. Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid Workshop on Global and Peer-to-Peer on Large Scale Distributed Systems, pp. 444-445, Berlin, Germany, May 2002.

C. Schmidt and M. Parashar. Scalable Keyword Searches with Guarantees in Peer-to-Peer Storage Systems. Technical Report Number TR-266, Center for Advanced Information Processing, Rutgers University, September 2002.

J. Steensland, S. Chandra and M. Parashar. An Application-Centric Characterization of Domain-Based SFC Partitioners for Parallel SAMR. IEEE Transactions on Parallel and Distributed Systems, Vol. 13, Issue 12, pp. 1275-1289, December 2002.

Snigdha Verma. Design and Implementation of the CORBA Commodity Grid Kit. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2002.

V. Bhat and M. Parashar. Integrating Grid Services using the DISCOVER Middleware. Technical Report Number TR-268, Center for Advanced Information Processing, Rutgers University, November 2002.

2001

H. Khosravi, D. Reininger, M. Ott and M. Parashar. M-YESSIR: A Low Latency Reservation Protocol for Mobile-IP Networks. Proceedings of Advanced Internet Charging and QoS Technology (ICQT 01) Workshop WS3 of Informatik, pp. 172-180, Vienna, Austria, September 2001.

S. Chandra and M. Parashar. An Evaluation of Partitioners for Parallel SAMR Applications. Proceedings of the 7th International Euro-Par Conference (Euro-Par 2001), Lecture Notes in Computer Science, Vol. 2150, pp. 171-174, Manchester, UK, August 2001.

A. Ramanathan and M. Parashar. Active Resource Management for the Differentiated Services Environment. Proceedings of the 3rd Annual International Workshop on Active Middleware Services, pp. 78-86, San Francisco, CA, USA, August 2001.

S. Sinha and M. Parashar. Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters. Proceedings of the 3rd IEEE International Conference on Cluster Computing, pp. 435-442, Newport Beach, CA, USA, October 2001.

N. Shaha, A. Dessai and M. Parashar. Multimedia Content Adaptation for QoS Management over Heterogeneous Networks. Proceedings of the International Conference on Internet Computing (IC 2001), pp. 642-648, Nevada, USA, USA, June 2001.

S. Chandra, J. Steensland and M. Parashar. Adaptive Application Sensitive Partitioning Strategies for SAMR Applications. Poster publication at IEEE/ACM Supercomputing 2001, Judged as Best Poster, Denver, CO, USA, November 2001.

A. Ramanathan and M. Parashar. Active Resource Management for the Differentiated Services Environment. Proceedings of the International Conference on Internet Computing (IC 2001), pp. 680-683, Nevada, USA, June 2001.

J. Batheja and M. Parashar. A Framework for Opportunistic Cluster Computing using JavaSpaces. Proceedings of the 9th International Conference on High Performance Computing and Networking (HPCN 2001), Workshop on Java in High Performance Computing, Vol. 2110, pp. 647-656, Amsterdam, Netherlands, June 2001.

S. Ramanathan and M. Parashar. A Multi-Threaded Communication Engine for Distributed Adaptive Applications. Proceedings of the 2001 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2001), pp. 692-698, Nevada, USA, June 2001.

S. Sinha and M. Parashar. System Sensitive Runtime Management of Adaptive Applications. Abstract/Presentation at the 10th SIAM Conference on Parallel Processing for Scientific Computing, Portsmouth, VA, USA, March 2001.

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S. Chandra, J. Steensland, M. Parashar and J. Cummings. An Experimental Study of Adaptive Application Sensitive Partitioning Strategies for SAMR Applications. Proceedings of the 2nd LACSI (Los Alamos Computer Science Institute) Symposium 2001, Santa Fe, NM, USA, October 2001.

M. Parashar. CORBA Commodity Grid Toolkit. Community Practice Paper, 1st Global Grid Forum, Amsterdam, Netherlands, March 2001.

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J. Batheja and M. Parashar. Adaptive Cluster Computing using JavaSpaces. Proceedings of the 3rd IEEE International Conference on Cluster Computing, pp. 323-330, Newport Beach, CA, USA, October 2001.

S. Kaur, V. Mann, V. Matossian, R. Muralidhar and M. Parashar. Engineering a Distributed Computational Collaboratory. Proceeding of the 34th Hawaii Conference on System Sciences, Hawaii, USA, January 2001.

S. Sinha and M. Parashar. System Sensitive Runtime Management of Adaptive Applications on Heterogeneous Environments. Proceedings of the 15th International Parallel and Distributed Computing Symposium (IEEE, ACM), 10th Heterogeneous Computing Workshop, San Francisco, CA, USA, April 2001.

M. Parashar. A Computational Collaboratory for Interactive Reservoir Simulations. ndustrial Affiliates Workshop, Center for Subsurface Modeling, Texas Institute for Computational and Applied Mathematics, University of Texas at Austin, Austin, TX, October 2001.

Vijay Mann. Middleware Architecture for Integrated Computational Collaboratories. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2001.

S. Verma, M. Parashar, J. Gawor and G. von Laszewski. Design and Implementation of a CORBA Commodity Grid Kit. Proceedings of the 2nd International Workshop on Grid Computing, Lecture Notes in Computer Science, Vol. 2242, pp. 2-13, Denver, CO, USA, November 2001.

Ashish Desai. An Adaptive QoS Mechanism for Multimedia Applications in Heterogeneous Environments. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2001.

M. Parashar. Adaptive QoS Management for Collaboration in Heterogeneous Environments, 2001.

Jyoti Batheja. A Framework for Opportunistic Cluster Computing Using JavaSpaces. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2001.

Sivapriya Ramanathan. Performance Optimization for Dynamic Adaptive Grid Hierarchies. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2001.

Victor Safronov. Optimizing Web Servers Using Page Rank Pre-fetching for Clustered Accesses. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2001.

R. Muralidhar and M. Parashar. A Distributed Object Infrastructure for Interaction and Steering. Proceedings of the 7th International Euro-Par Conference (Euro-Par 2001), Lecture Notes in Computer Science, Editors: R. Sakellariou, J. Keane, J. Gurd and L. Freeman, Springer-Verlag, Vol. 2150, pp. 64-74, Manchester, UK, August 2001.

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M. Parashar. Event Services for Grid Computing Environments. Community Practice Paper, 2nd Global Grid Forum, VA, USA, July 2001. (Archived at www.computingportals.org), 2001.

M. Parashar. DISCOVER: An Interactive Computational Collaboratory for Grid Applications. Community Practice Paper, 1st Global Grid Forum, Amsterdam, Netherlands, March 2001.

Shweta Sinha. System Sensitive Runtime Management of Dynamic Applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, May 2001.

V. Mann, V. Matossian, R. Muralidhar and M. Parashar. DISCOVER: An Environment for Web-based Interaction and Steering of High-Performance Scientific Applications. Concurrency and Computation: Practice and Experience, Vol. 13, Issue 8-9, pp. 737-754, 2001.

M. Parashar. DISCOVER: An Interactive Computational Collaboratory for Grid Applications. Community Practice Paper, 1st Global Grid Forum, pp. 3, Amsterdam, Netherlands, March 2001.

R. Henderson, D. Meiron, M. Parashar and R. Samtaney. Parallel Computing in Computational Fluid Dynamics. CRPC Handbook of Parallel Computing, Editors: J. Dongarra, I. Foster, G. C. Fox, K. Kennedy, L. Torczon, and A. White, Morgan Kaufmann Publishers, pp. 93-144, 2001.

M. F. Wheeler, W. Lee, C. N. Dawson, D. C. Arnold, T. Kurc and M. Parashar. Parallel Computing in Environment and Energy. CRPC Handbook of Parallel Computing, Editors: J. Dongarra, I. Foster, G. C. Fox, K. Kennedy, L. Torczon, and A. White, Morgan Kaufmann Publishers, pp. 145-165, 2001.

M. Parashar. The DISCOVER Computational Collaboratory for Computational Epidemiology. CAIP Symposium on Homeland Security, Center for Advanced Information Processing, Rutgers University, The State University of New Jersey, Piscataway, NJ, USA, November 2001.

M. Parashar. Engineering the DISCOVER Computational Collaboratory. The Applied Software System Laboratory, Rutgers, Rutger University, The State University of New Jersey, Piscataway, NJ, USA, January 2001.

V. Mann and M. Parashar. Middleware Support for Global Access to Integrated Computational Collaboratories. Proceedings of 10th IEEE International Symposium on High Performance Distributed Computing, pp. 35-46, San Francisco, CA, USA, August 2001.

M. Parashar. Engineering a Computational Collaboratory on the Grid: An Overview of the DISCOVER Project. Seminar, IBM T. J. Watson Research Center, IBM, Hawthorne, NY, USA, September 2001.

M. Parashar. Engineering a Computational Collaboratory on the Grid: An Overview of the DISCOVER Project. Colloquium, Information Technology Center, King Faisal University of Petroleum and Minerals, Dhahran, Saudi Arabia, August 2001.

2000

R. Muralidhar and M. Parashar. An Object Infrastructure for Computational Steering of Distributed Simulations. Proceedings of the Ninth IEEE International Symposium on High-Performance Distributed Computing (HPDC 2000), IEEE Computer Society Press, pp. 304-305, August 2000.

M. Parashar and J. C. Browne. Systems Engineering for High Performance Computing Software: The HDDA/DAGH Infrastructure for Implementation of Parallel Structured Adaptive Mesh Refinement. IMA Volume 117: Structured Adaptive Mesh Refinement (SAMR) Grid Methods, Vol. 117, pp. 1-18, January 2000.

R. Muralidhar and M. Parashar. Using Java Interaction Proxies for Web-based Steering of Distributed Simulations. Proceedings of the First Conference on Distributed Objects in Computational Science, Held in Conjunction with the PDPTA Series of Conferences, Las Vegas, NV, USA, March 2000.

R. Muralidhar, S. Kaur and M. Parashar. An Architecture for Web-based Interaction and Steering of Adaptive Parallel/Distributed Applications. Proceedings of the 6th International Euro-Par Conference (Euro-Par 2000), Vol. 117, pp. 1332-1339, Munich, Germany, August-September 2000.

Mausumi Shee. Evaluation and optimization of load balancing/distribution techniques for Dynamic Adaptive Grid Hierarchies, 2000.

S. Kaur, R. Muralidhar and M. Parashar. An Environment for Web-based Interaction and Steering of High- Performance Scientific Applications. ACM Java Grande Conference, San Francisco, CA, USA, June 2000.

S. Ramanathan and M. Parashar. Adaptive Distribution of Dynamic Grid Hierarchies. Abstract/Presentation at the special session on Parallel Adaptive Computations, p and hp Finite Element Method: Mathematics and Engineering Practice, pp. 86, St. Louis, MO, USA, May 2000.

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J. Steensland, M. Thune, S. Chandra and M. Parashar. Characterization of Domain-based Partitioners for Parallel SAMR Applications. Proceedings of the IASTED International Conference on Parallel and Distributed Computing Systems, pp. 425-430, Las Vegas, NV, USA, November 2000.

N. Prabhavalkar, M. Parashar and P. Agrawal. LGC: An Active Congestion Control Mechanism. Active Middleware Services, pp. 177-187, August 2000.

M. Parashar. Scalability of Irregular Adaptive Mesh Refinement. Scalability Workshop, ACM International Conference on Supercomputing, Santa Fe, NM, USA, May 2000.

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Niraj Prabhavalkar. The design and evaluation of network services in an active network architectural framework. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2000.

Samian Kaur. Quantitative Analysis of Robustness and Scalability for Messaging Protocols. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, 2000.

M. Parashar and S. Hariri. Interpretive Performance Prediction for Parallel Application Development. Journal of Parallel and Distributed Computing, Academic Press, Vol. 60, Issue 1, pp. 14-47, January 2000.

Rajeev Muralidhar. A Distributed object framework for the interactive steering of high performance applications. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 2000.

M. Dhillon, S. Kaur, V. Mann, V. Matossian, R. Muralidhar, A. Swaminathan, S. Verma and M. Parashar. DISCOVER: A Virtual Interactive Computational Collaboratory. Center for Advanced Information Processing, Rutgers University, Vol. 13, Issue 2, 2000.

1999

Hormuzd Khosravi. Design and Evaluation of a Reservation Protocol for Mobile Multimedia Networks. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, 1999.

Pravin Bhandarkar. An adaptive framework for collaboration in heterogeneous networks. Graduate School - New Brunswick, Rutgers, The State University of New Jersey, October 1999.

N. Shaha and M. Parashar. Shared Memory Multiprocessors. Encyclopedia of Electrical and Electronics Engineering, Editor: J. G. Webster, John Wiley and Sons, Inc, ISBN: 0-471-13946-7, March 1999.

S. Bhavsar, M. Shee and M. Parashar. A Characterization of Distribution Techniques for Dynamic Adaptive Grid Hierarchies. 5th U.S. National Congress on Computational Mechanics (USACM), pp. 198, Boulder, CO, USA, August 1999.

S. Bhavsar, M. Shee and M. Parashar. An Application-Centric Characterization of Distribution Techniques for Dynamic Adaptive Grid Hierarchies. 1999 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 99), pp. 2530-2536, Las Vegas, NV, USA, June 1999.

John J. Thomas. The Virtual Desktop - A Framework for Asynchronous Collaboration, 1999.

S. Bhavsar, M. Shee and M. Parashar. Characterizing the Performance of Dynamic Distribution and Load-Balancing Techniques for Adaptive Grid Hierarchies. IASTED International Conference on Parallel and Distributed Computing and Systems, pp. 782-787, Cambridge, MA, USA, November 1999.

1998

The Binary Black Hole Grand Challenge Alliance: A. M. Abrahams, et al.. Gravitational wave extraction and outer boundary conditions by perturbative matching. Phys. Rev. Lett. 80, pp. 1812-1815, 1998.

The Binary Black Hole Grand Challenge Alliance: G. B. Cook, et al.. Boosted three-dimensional black-hole evolutions with singularity excision. Phys. Rev. Lett. 80, pp. 2512-2516, 1998.

The Binary Black Hole Grand Challenge Alliance: R. Gomez, et al.. Stable characteristic evolution of generic 3-dimensional single-black-hole spacetimes. Phys. Rev. Lett. 80, pp. 3915-3918, 1998.

P. Bhandarkar and M. Parashar. Semantic Communication for Distributed Information Coordination. Proceedings of the IEEE Conference on Information Technology, pp. 149-152, Syracuse, NY, USA, September 1998.

P. Bhandarkar and M. Parashar. Replicating Distributed Events for Real-Time Collaboration. Department of Electrical and Computer Engineering, Rutgers University, pp. 23, June 1998.

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M. Parashar. Adaptive Mesh Refinement using DAGH: A Tutorial. Department of Electrical and Computer Engineering, Rutgers University, pp. 140, June 1998.

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M. Parashar and I. Yotov. An Environment for Parallel Multi-Block, Multi-Resolution Reservoir Simulations. Proceedings of the 11th International Conference on Parallel and Distributed Computing Systems (PDCS 98), pp. 230-235, Chicago, IL, USA, September 1998.

M. Parashar. Integrated Data-Management for Computational Steering. IEEE Conference on Information Technology, pp. 61-64, Syracuse, NY, USA, September 1998.

M. Parashar and J. C. Browne. Integrated Data-Management for Computational Steering. Proceedings of 31st Annual Hawaii International Conference on System Sciences, Kohala Coast, Hawaii, USA, January 1998.

M. Parashar. HDDA: A Distributed Dynamics Data Structure for Parallel Adaptive Computations. Center for Advanced Information Processing, Rutgers University, 1998.

S. Bhavsar, W. Hu and M. Parashar. Architectures and Techniques for Using High Performance Computers to Support Workstation Based DII COE Applications. Proceedings of the DOD HPCMP Users Group Conference, pp. 7, Houston, TX, USA, June 1998.

1997

M. Parashar and P. Walker. Building Programming Environments for Parallel Adaptive Finite Difference Applications. Albert-Einstein Institute, Max Plank Institue, Potsdam, Germany, pp. 12, August 1997.

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P. Wang, I. Yotov, M. Wheeler, T. Arbogast, C. Dawson, M. Parashar and K. Sepehrnoori. A New Generation EOS Compositional Reservoir Simulator: Formulation and Discretization. Proceedings of the Society of Petroleum Engineers, Reservoir Simulation Symposium, Vol. 37979, pp. 55-64, Dallas, TX, USA, June 1997.

M. Parashar, J. A. Wheeler, G. Pope, K. Wang and P. Wang. A New Generation EOS Compositional Reservoir Simulator: Framework and Multiprocessing. Proceedings of the Society of Petroleum Engineers, Reservoir Simulation Symposium, Vol. 37977, pp. 31-38, June 1997.

M. Parashar and J. C. Browne. Systems Engineering Issues in the Implementation of an Infrastructure for Parallel Structured Adaptive Meshes. Proceedings of Workshop on Structured Adaptive Mesh Refinement Grid Methods, SIAM Conference on Parallel Processing for Scientific Computing, Minneapolis, MN, USA, 1997.

M. Parashar, J. C. Browne, C. Edwards and K. Klimkowsky. A Computational Infrastructure for Parallel Adaptive Methods. Symposium on Parallel Adaptive Method, 4th U.S. Congress on Computational Mechanics, San Francisco, CA, USA, August 1997.

M. Parashar, J. C. Browne, C. Edwards and K. Klimkowsky. A Common Data Management Infrastructure for Parallel Adaptive Algorithms for PDE Solutions. Proceeding of Supercomputing '97, ACM Sigarch, IEEE Computer Society, San Jose, CA, USA, November 1997.

M. Parashar and S. Hariri. Interpretive Performance Prediction for High Performance Application Development. Proceedings of the 30th Annual Hawaii International Conference on System Sciences, IEEE Computer Society Press, pp. 10, Maui, Hawaii, USA, January 1997.

1996

M. Parashar and S. Hariri. Compile-Time Performance Interpretation of HPF/Fortran 90D. IEEE Parallel and Distributed Technology, IEEE Computer Society Press, Vol. 4, Issue 1, pp. 53-73, 1996.

M. Parashar and J. C. Browne. Object-Oriented Programming Abstractions for Parallel Adaptive Mesh-Refinement. Parallel Object-Oriented Methods and Applications (POOMA), Santa Fe, NM, USA, February 1996.

M. Parashar and J. C. Browne. On Partitioning Dynamic Adaptive Grid Hierarchies. Proceedings of the 29th Annual Hawaii International Conference on System Sciences, pp. 604-613, Maui, Hawaii, USA, January 1996.

1995

M. Parashar. DAGH Users Guide. TICAM, University of Texas at Austin, pp. 20, June 1995.

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M. Parashar, M. W. Choptuik and S. Klasky. Parallel Multigrid on Adaptive Mesh Refinement Hierarchies. Center for Relativity, University of Texas at Austin, pp. 31, September 1995.

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S. Hariri, M. Parashar, S. Park, R. Reddy, M. Subramanium, J. Yadav and G. C. Fox. Software Tool Evaluation Methodology. Proceedings of the International Conference on Distributed Computing Systems, IEEE Computer Society Press, pp. 3-10, Vancouver, Canada, May-June 1995.

M. Parashar and J. C. Browne. Programming Abstraction for Parallel Adaptive Mesh-Refinement. TICAM, University of Texas at Austin, pp. 4, April 1995.

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M. Parashar and J. C. Browne. An Infrastructure for Parallel Adaptive Mesh-Refinement Techniques. TICAM, University of Texas at Austin, pp. 27, April 1995.

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M. Parashar and J. C. Browne. Distributed Dynamic Data-Structures for Parallel Adaptive Mesh-Refinement. Proceedings of the International Conference for High Performance Computing, pp. 22-27, December 1995.

1994

M. Parashar, S. Hariri, T. Haupt and G. C. Fox. Interpreting the Performance of HPF/Fortran 90D. Proceedings of Supercomputing `94 (ACM Sigarch and IEEE Computer Society), IEEE Computer Society Press, pp. 743-752, Washington, DC, USA, November 1994.

B. Thiagarajan, D. Jadav, M. Parashar, S. Hariri and G. C. Fox. Parallel Software Benchmarks for High Performance BMC3/IS Systems. Technical Report RL-TR-94-77, Rome Laboratory, New York, (NPAC Technical Report SCCS-490), May 1994.

M. Parashar, S. Hariri, T. Haupt and G. C. Fox. Design of an Application Development Toolkit for HPF/Fortran 90D. Proceedings of the International Workshop on Parallel Processing, Tata McGraw-Hill Publishing, pp. 6, Bangalore, India, December 1994.

S. Hariri, J. B. Park, M. Parashar and G. C. Fox. A Communication System for High Performance Distributed Computing. Concurrency and Computation: Practice and Experience, Special Issue: High Performance Distributed Computing. John Wiley and Sons, Vol. 6(4), pp. 251-270, June 1994.

M. Parashar. A Survey of Software Systems Supporting Parallel/Distributed Grids. TICAM, University of Texas at Austin, pp. 22, December 1994.

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M. Parashar, S. Hariri, T. Haupt and G. C. Fox. A Study of Software Development for High Performance Computing. Programming Environments for Massively Parallel Distributed Systems, Editors: K. M. Decker and R. M. Rehmann, Basel, Switzerland, Birkhauser Verlag, pp. 11, Basel, Switzerland, 1994.

1993

S. Hariri, M. Parashar and J. B. Park. Software and Hardware Issues for Workstation-Based Supercomputing. Proceedings of the 26th International Conference on System Sciences (HICSS-26), IEEE Computer Society Press, pp. 286-295, Hawaii, USA, January 1993.

S. Hariri, M. Parashar, J. B. Park, F. K. Yu and G. C. Fox. A Message Passing Interface for Parallel and Distributed Computing. Proceedings of the 2nd International Symposium on High Performance Distributed Computing (HPDC-2), IEEE Computer Society Press, pp. 84-91, Spokane, WA, USA, July 1993.

M. Parashar, S. Hariri, T. Haupt and G. C. Fox. An Interpretive Framework for Application Performance Prediction. Proceedings of the 1993 International Conference On Parallel and Distributed Systems (ICPADS 1993), IEEE Computer Society Press, pp. 10, Taiwan, December 1993.

M. Parashar and S. Hariri. An Integrated Software Development Model for Heterogeneous High Performance Computing. NPAC Technical Report SCCS-453, Syracuse University, NY, pp. 22, March 1993.

M. Parashar and S. Hariri. An Intelligent Performance Optimizer for Network-Based Distributed Systems. NPAC Technical Report SCCS-418, Syracuse University, NY, March 1993.

1992

G. von Laszewski, M. Parashar, A. G. Mohamed and G. C. Fox. High Performance Scalable Matrix Algebra Algorithms for Distributed Memory Architectures. NPAC Technical Report SCCS-271, Syracuse University, NY, pp. 29, March 1992.

M. Parashar, S. Hariri and K. Jabbour. An Expert System for Performance Management. Proceedings of the 35th Midwest Symposium on Circuits and Systems, pp. 1052-1056, Washington, DC, USA, August 1992.

M. Parashar, S. Hariri and K. Jabbour. An Expert System for Performance Management. Proceedings of the 35th Midwest Symposium on Circuits and Systems, IEEE Press, pp. 1052-1056, Washington, DC, USA, August 1992.

M. Parashar, S. Hariri and K. Jabbour. An Expert System for Performance Management. NPAC Technical Report SCCS-354, Syracuse University, NY, pp. 10, August 1992.

M. Parashar and S. Hariri. MHiSS: A Memory Hierarchy for Stable Storage. NPAC Technical Report SCCS-355, Syracuse University, NY, August 1992.

M. Parashar, S. Hariri, J. Park, F. Yu and G. C. Fox. A Case for Heterogeneous Network Computing. NPAC Technical Report SCCS-417, pp. 36, November 1992.

M. Parashar, S. Hariri, J. Park, F. Yu and G. C. Fox. An Environment for High Performance Distributed Computing. NPAC Technical Report, November 1992.

G. von Laszewski, M. Parashar, A. G. Mohamed and G. C. Fox. On the Parallelization of Blocked LU Factorization Algorithms for Distributed Memory Architectures. Proceedings of Supercomputing 92 (ACM Sigarch and IEEE Computer Society), IEEE Computer Society Press. Judged as Best Student Paper, pp. 170-179, Minneapolis, MN, USA, November 1992.

A. G. Mohamed, G. C. Fox, G. von Laszewski, M. Parashar, T. Haupt, K. Mills, Y. Lu, N. Lin and N. Yeh. Application Benchmark Set for Fortran D and High Performance Fortran. NPAC Technical Report SCCS-327, Syracuse University, NY, pp. 49, June 1992.

M. Parashar, S. Hariri, A. G. Mohamed and G. C. Fox. A Requirement Analysis for High Performance Distributed Computing over LAN's. Proceedings of the 1st International Symposium on High Performance Distributed Computing (HPDC-1), IEEE Computer Society Press, pp. 142-151, Syracuse, NY, USA, September 1992.