Publications

(For a more complete list, please visit the TASSL Homepage )

Shortcut Links

Pervasive and Autonomic Application Ecosystems | | Autonomic Computing | | Computational Collaboratories and Grid Computing Environments | | Asynchronous and Adaptive Computational Engines (ACE) | | Miscellaneous Publications | | Adaptive QoS Management and Active Networks | | Parallel and Distributed Computing | | Performance Evaluation and Optimization | |

Pervasive and Autonomic Application Ecosystems

    Introduction
  1. Pervasive Computational Ecosystem: Enabling Dynamic Data/Information Driven Science. Research Position Paper. 2007.
  2. M. Parashar and J-M. Pierson. When the Grid becomes Pervasive: A Vision for Pervasive Grids. Research Position Paper. 2007. (PDF)
    Cancer Tissue Micro-array Collaboratory
  1. 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). Honolulu, HI, USA, IEEE Computer Society Press, pp. 64 - 73, June 2004. (PDF)
    Data-driven Subsurface Management and Optimization
  1. H. Klie, W. Bangerth, X. Gai, M. F. Wheeler, P. L. Stoffa, M. Sen, M. Parashar, U. Catalyurek, J. Saltz, T. Kurc. Models, Methods and Middleware for Grid-enabled Multiphysics Oil Reservoir Management. Engineering with Computers. Springer-Verlag, September 2006. (PDF)
  2. 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., Reading, UK, LNCS, Springer Verlag, Vol. 3993, pp. 384 – 392, May 2006. (PDF)
  3. 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. (PDF)
  4. 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. (PDF)
  5. 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. FGCS – The International Journal of Grid Computing: Theory, Methods and Applications (FGCS. Elsevier Science Publishers, Vol. 21, Issue 1, pp 19 - 26, 2005. (PDF)
  6. 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., Atlanta, USA, LNCS, Springer Verlag, Vol. 3514-3516, pp. 656 - 663, May 2005. (PDF)
  7. W. Bangerth, H. Klie, V. Matossian, M. Parashar, 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, No. 4, pp. 255 - 269, 2005. (PDF)
  8. 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. (PDF)
  9. 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, 2005. (PDF)
  10. V. Matossian, M. Parashar, W. Bangerth, H. Klie, 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. (PDF)
  11. 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. (PDF)
  12. V. Matossian, M. Parashar, W. Bangerth, H. Klie, 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. (PDF)
  13. 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). Seattle, WA, USA, Computer Society Press, pp 2-9, June 2003. (PDF)
    High Performance Data Streaming
  1. S. Klasky, M. Beck, V. Bhat, E. Feibush, B. Ludäscher, M. Parashar, A. Shoshani, D. Silver and M. Vouk. Data management on the fusion computational pipeline. Journal of Physics: Conference Series 16 (2005). Publisher: IOP press, June 2005, Page(s): 510-520. (PDF)
  2. 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, November 2004, Pittsburgh PA. (PDF)
  3. D. Davis and M. Parashar. Latency Performance of SOAP Implementations. Proceedings of the 2PndP IEEE/ACM International Symposium on Cluster Computing and the Grid, Workshop on Global and Peer-to-Peer on Large Scale Distributed Systems. Berlin, Germany, IEEE Computer Society Press, pp. 407-412, May 2002. (PDF)
    Fire Simulation
  1. 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). Atlanta, GA, USA, Springer-Verlag, May 2005. (PDF)
    Miscellaneous
  1. Editors: P. Sadayappan, M. Parashar, R. Badrinath, and V.K. Prasanna. In-network Data Estimation Mechanisms for Sensor-driven Scientific Applications. Proceedings of the 15th IEEE International Conference on High Performance Computing (HiPC 2008). Bangalore, India, LNCS, Springer-Verlag, December 2008. (PDF)
  2. 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]. (PDF)
  3. W. Chen, C. Schmidt, M. Parashar, M. Reiss, D. Foran. Decentralized Data Sharing of Tissue Microarrays for Investigative Research in Oncology. Cancer Informatics. Libertas Academica, Volume 2, pp. 373 - 388, 2006. (PDF)
  4. V. Matossian and M. Parashar. Grid Computing in the Digital Oil Field. V. Matossian and M. Parashar. Harts's E and P, Vol. 79, No. 8, pp. 19 - 21, August 2006.
  5. 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. FGCS - The International Journal of Grid Computing: Theory, Methods and Applications (FGCS). Elsevier Science Publishers, Vol. 21, Issue 1, pp 19 - 26, 2005. (PDF)
  6. M. Parashar, H. Klie, T. Kurc, U. Catalyurek, J. Saltz, M. F. Wheeler. Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-systems. submitted for publication to Journal of Algorithms and Computational Technology. Multi-Science Publishers, August 2007. (PDF)
  7. 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). Miami, FL, USA, IEEE Computer Society Press, April, 2008. (PDF)
  8. 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). Beijing, China, LNCS, Editors: Y. Shi et al., Springer Verlag, Volume 4487, pp. 1213 - 1221, May 2007. (PDF)
  9. 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). Mangalore, India, IEEE Computer Society Press, pp. 507 - 512, December 2006. (PDF)
  10. 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). Atlanta, GA, USA, LNCS, Springer-Verlag, Vol. 3514-3516, pp. 615 - 622, May 2005. (PDF)
  11. R. Versteeg, A. Richardson, S. Thomas, B. Lu, J. Neto, M. Wheeler, T. Rowe, M. Parashar and M. Ankeny. A web accessible scientific workflow system for transparent and reproducible generation of information on subsurface processes from autonomously sensed data. Eos Trans. AGU, 86(52), Fall Meet. Suppl., Poster IN21B-1183, December 2005.
  12. 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. Santa Fe, NM, USA, CDROM, IEEE Computer Society Press, 8 pages. April 2004. (PDF)
  13. S. Hariri and M. Parashar. vGrid: An Autonomic Runtime System for Grid Applications. 12PthP International Symposium on High Performance Distributed Computing. Seattle, WA, USA, June 2003.
  14. Autonomic Computing Engines for Internet-Scale Applications. Invited Talk, 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). Boston, MA, USA, IEEE Computer Society Press, June 2008. (PDF)
  15. M. Parashar. Autonomic Oil Reservoir Optimization on the Grid. Eos Trans. AGU, 86(52), Fall Meet. Suppl., Abstract H51J-08, December 2005.
  16. 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, February 2005. (PDF)
  17. 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. (PDF)
  18. M. Parashar. An Autonomic Reservoir Framework. Minisymposium on Reservoir Simulation in the 21st Century, 2004 SIAM Annual Meeting (AN 2004). Portland OR, July 2004.
  19. M. Parashar. Autonomic, Architecture-Aware Runtime Management of Parallel Adaptive Applications. Minisymposium on Architecture-Aware Parallel Computation, 11PthP SIAM Conference on Parallel Processing and Scientific Computing (PP04). San Francisco, CA, February 2004..
  20. 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. TNASA Langley Research Center, NASA/CP-2003-212436, Hampton, VA, TAugust 2003. (PDF)

Autonomic Computing

    Introduction and Concepts
  1. 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, No. 1, pp. 5 - 17, 2006. (PDF)
  2. M. Parashar, and S. Hariri. Autonomic Computing: An Overview. UPP 2004. Mont Saint-Michel, France, Editors: J.-P. Banâtre et al. LNCS, Springer Verlag, Vol. 3566, pp. 247 – 259, 2005. (PDF)
  3. 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, 2005. (PDF)
  4. 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. Mont Saint-Michel, France, pp 157 - 164, September 2004.
    Grid Computing
  1. 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. pp. 510-520, June 2005. (PDF)
  2. 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, No. 3, March 2005. (PDF)
  3. M. Parashar and C. Lee. Grid Computing - Introduction and Overview. Proceedings of the IEEE, Special Issue on Grid Computing. IEEE Press, Vol. 93, No. 3, March 2005. (PDF)
  4. M. Parashar and C. Lee. Grid Computing. An Evolving Vision. Proceedings of the IEEE, Special Issue on Grid Computing. IEEE Press, Vol. 93, No. 3, March 2005. (PDF)
  5. M. Parashar, and S. Hariri. Autonomic Computing: An Overview. UPP 2004, Mont Saint-Michel, France. Vol. 3566, pp. 247-259, 2005. (PDF)
  6. 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. Vol. 8, No. 5, 2005.
  7. 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. (PDF)
    Project AutoMate
  1. AutoMate: Enabling Autonomic Grid Applications. M. Parashar, H. Liu, Z. Li, V. Matossian, C. Schmidt, G. Zhang and S. Hariri. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Vol. 9, No. 1, 2006. (PDF)
  2. Enabling High Speed Asynchronous Data Extraction and Transfer Using DART. C. Docan, M. Parashar and S. Klasky. Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC). Boston, MA, USA, IEEE Computer Society Press, June 2008. (PDF)
  3. An Autonomic Service Architecture for Self-Managing Grid Applications. H. Liu, V. Bhat and M. Parashar and S. Klasky. Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing (Grid 2005), Seattle, WA, USA. pp. 132 - 139, November 2005 . (PDF)
  4. AutoMate: Enabling Autonomic Applications on the Grid. M. Agarwal, V. Bhat, Z. Li, H. Liu, B. Khargharia, V. Matossian, V. Putty, C. Schmidt, G. Zhang, S. Hariri and M. Parashar. Proceedings of the Autonomic Computing Workshop, 5th Annual International Active Middleware Services Workshop (AMS2003), Seattle, WA, USA. pp 48-57, June 2003. (PDF)
  5. Clustering Analysis for the Management of Self-Monitoring Device Networks. A. Quiroz, M. Parashar, N. Gnanasambandam and N. Sharma. Proceedings of the 5th IEEE International Conference on Autonomic Computing (ICAC 2008). Chicago, USA, IEEE Computer Society Press, June 2008. (PDF)
  6. Robust Clustering Analysis for the Management of Self-Monitoring Distributed Systems. A. Quiroz, N. Gnanasambandam, M. Parashar, and N. Sharma. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Kluwer Academic Publishers. (PDF)
  7. An Autonomic Data Streaming Service. V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Klasky, and S. Abdelwahed. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Springer Netherlands, 2007 . (PDF)
  8. Adaptive Distributed Mechanisms against Flooding Network Attacks Based on Machine Learning. J. L. Berral, N. Poggi, J. Alonso, R. Gavalda, J. Torres, and M. Parashar. Proceedings of the1st ACM Workshop on AISec, in conjunction with the 15th ACM Conference on Computer and Communications Security (CCS). Alexandria, VA, USA, October 2008. (PDF)
  9. The Role of Standardization in Future Autonomic Communication Systems. J. Strassner, J. Fleck, D. Lewis, M. Parashar and W. Donnelly. Proceedings of the IEEE International Workshop on Engineering on Autonomic and Autonomous Systems (EASe 2008). Belfast, Northern Ireland, IEEE Computer Society Press, March-April, 2008. (PDF)
  10. Enabling Self-Management of Component Based High-Performance Scientific Applications. H. Liu and M. Parashar. Proceedings of the 14th IEEE International Symposium on High Performance Distributed Computing (HPDC 2005), Research Triangle Park, NC, USA. pp. 59-68. July 2005. (PDF)
  11. Towards Autonomic Control of Network Topologies. V. Matossian and M. Parashar. Proceedings of the 1st IEEE Workshop on Modeling Autonomic Communication Environments (MACE), 2nd International Week on Management of Networks and Services (Manweek 2006). Dublin, Ireland, pp. 235-250, October 2006. (PDF)
  12. A Framework for Rule-Based Autonomic Management of Parallel Scientific Applications. H. Liu and M. Parashar. Proceedings of the 2nd IEEE International Conference on Autonomic Computing (ICAC 2005). Seattle, WA, USA, IEEE Computer Society, June 2005. (PDF)
  13. Cooperative Detection and Protection against Network Attacks Using Decentralized Information Sharing. G. Zhang and M. Parashar. submitted for publication to Journal of Parallel and Distributed Computing. Elsevier Press, June 2006.
  14. Cooperative Defense against DDoS Attacks. G. Zhang and M. Parashar. Proceedings of the 2005 International Conference on Security Management (SAM 05). Las Vegas, NV, USA, CSREA Press, June 2005. (PDF)
  15. Cooperative Defense against DDoS Attacks. G. Zhang and M. Parashar. Journal of Research and Practice in Information Technology (JRPIT). Australian Computer Society Inc., 2005. (Winner of the Australian Committee on Computation and Automatic Control (ANCCAC) Best Paper Award 2006). (PDF)
  16. A Component-based Programming Framework for Autonomic Applications. H. Liu, M. Parashar and S. Hariri. Proceedings of the 1st IEEE International Conference on Autonomic Computing (ICAC-04), New York, NY, USA. pp. 278 - 279, May 2004. (PS)
  17. Rule-Based Visualization in the Discover Computational Steering Collaboratory. H. Liu, L. Jiang, M. Parashar and D. Silver. The International Journal of Grid Computing: Theory, Methods and Applications (FGCS) . Vol. 21, Issue 1, pp 53- 59, 2005. (PDF)
  18. Accord: A Programming Framework for Autonomic Applications. H. Liu and M. Parashar. IEEE Transactions on Systems, Man and Cybernetics, Special Issue on Engineering Autonomic Systems. IEEE Press, 2005. (PDF)
  19. Rule-based Visualization in the Discover Computational Steering Collaboratory. H. Liu, L. Jiang, M. Parashar, and D. Silver. Journal of Future Generation Computer System, Special Issue on Engineering Autonomic Systems. Elsevier Science, Jan 2005. (PDF)
  20. A Decentralized Agent Framework for Dynamic Composition and Coordination for Autonomic Applications. Z. Li and M. Parashar. 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), Copenhagen, Denmark. pp. 165 - 169, August 2005. (PDF)
  21. Enabling Autonomic Compositions in Grid Environments. M. Agarwal and M. Parashar. Proceedings of the 4th International Workshop on Grid Computing (Grid 2003), Phoenix, AZ, USA. pp 34 - 41, November 2003. (PDF)
  22. Enabling Dynamic Composition and Coordination of Autonomic Applications using the Rudder Agent Framework. Z. Li and M. Parashar. The Knowledge Engineering Review. Cambridge University Press, Volume 21, Issue 03, pp. 221-230, October 2006. (PDF)
  23. An Infrastructure for Dynamic Composition of Grid Service. Z. Li and M. Parashar. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006). Barcelona, Spain, IEEE Computer Society Press, pp. 315 – 316, September 2006. (PDF)
  24. Rudder: An Agent-based Infrastructure for Autonomic Composition of Grid Applications. Z. Li and M. Parashar. Multiagent and Grid System – An International Journal. IOS Press, Vol. 1, No. 4, pp. 183 - 195, 2005. (PDF)
  25. Comet: A Scalable Coordination Space in Decentralized Distributed Environments. Z. Li and M. Parashar. Proceedings of the 2nd International Workshop on Hot Topics in Peer-to-Peer Systems (HOT-P2P 2005), San Diego, CA, USA. pp. 104 - 111, July 2005. (PDF)
  26. Enabling Autonomic Grid Applications: Dynamic Composition, Coordination and Interaction. Z. Li and M. Parashar. UPP 2004, Mont Saint-Michel, France. Vol. 3566, pp. 260 - 275, 2005. (PDF)
  27. Rudder: A Rule-based Multi-agent Infrastructure for Supporting Autonomic Grid Applications. Z. Li and M. Parashar. Poster publication, 1st IEEE International Conference on Autonomic Computing (ICAC-04), New York, NY, USA. pp. 10 - 17, May 2004. (PS)
  28. A Dimension Reducing Indexing Scheme for Guaranteed Keyword Searches in Peer-to-Peer Storage System. C. Schmidt and M. Parashar. 23PrdP International Conference on Distributed Computing Systems, Providence. RI, USA, May 2003. (PDF)
  29. Enabling Autonomic Self-Managing Grid Applications. Z. Li, H. Liu and M. Parashar. Proceedings of SELF-STAR: International Workshop on Self-Properties in Complex Information Systems, Springer Verlag, Bertinoro, Italy. May-June, 2004. (PDF)
  30. Event Services for Grid Computing Environments. M. Parashar. Community Practice Paper, 2nd Global Grid Forum, VA, USA, July 2001. (Archived at www.computingportals.org).
  31. Experiments with In-Transit Processing for Data Intensive Grid workflows. V. Bhat, M. Parashar, and S. Klasky. Proceedings of the 8th IEEE International Conference on Grid Computing (Grid 2007). Austin, Texas, IEEE Computer Society Press, pp 193 – 200, September 2007. (PDF)
  32. Enabling Self-Managing Applications using Model-based Online Control Strategies. V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy, and S. Abdelwahed. Proceedings of the 3rd IEEE International Conference on Autonomic Computing (ICAC 2006). Dublin, Ireland, IEEE Computer Society Press, pp. 15 – 24, June 2006. (PDF)
  33. A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control. V. Bhat, M. Parashar, M. Khandekar, N. Kandasamy, and S. Klasky. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006). Barcelona, Spain, IEEE Computer Society Press, pp. 176 – 183, September 2006. (PDF)
  34. Environment Sensitive Access Management for Pervasive Grid Applications. G. Zhang and M. Parashar. Cluster Computing: The Journal of Networks, Software Tools, and Applications. Vol. 9, No. 2, 2006. (PDF)
  35. Squid: Enabling Search in DHT-based Systems. C. Schmidt and M. Parashar. Journal of Parallel and Distributed Computing. Elsevier Press, Volume 68/7, pp. 962-975. (PDF)
  36. Cooperative Defense against Network Attacks. G. Zhang and M. Parashar. Proceedings of the 3rd International Workshop on Security In Information Systems (WOSIS 2005), 7th International Conference on Enterprise Information Systems (ICEIS 2005), Miami, FL, USA. pp. 113 - 122, May 2005. (PDF)
  37. Corporative Defense against DDoS Attacks. G. Zhang and M. Parashar. Journal of Research and Practice in Information Technology (JRPIT), Australian Computer Society Inc. . 2005. (PDF)
  38. Cooperative Mechanism against DDoS Attacks. G. Zhang and M. Parashar. Proceedings of the IEEE International Conference on Information and Computer Science (ICICS 2004), Dhahran, Saudi Arabia. November 2004. (PDF)
  39. Context-aware Dynamic Access Control for Pervasive Applications. G. Zhang and M. Parashar. Proceedings of the Communication Networks and Distributed Systems Modeling and Simulation Conference (CNDS 2004), 2004 Western MultiConference (WMC), San Diego, CA, USA, Society for Modeling and Simulation International (SCS) . January 2004. (PDF)
  40. Dynamic Context-aware Access Control for Grid Applications. G. Zhang and M. Parashar. Proceedings of the 4th International Workshop on Grid Computing (Grid 2003), Phoenix, AZ, USA. pp 101-108, November 2003. (PDF)
  41. SESAME: Scalable, Environment Sensitive Access Management Engine. G. Zhang and M. Parashar. Cluster Computing: The Journal of Networks, Software Tools, and Applications. Kluwer Academic Publishers, Vol. 9, No. 2, 2006. (PDF)
  42. An Self-Managing Wide-Area Data Streaming Service. V. Bhat, M. Parashar, H. Liu, M. Khandekar, N. Kandasamy, S. Klasky, and S. Abdelwahed. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Autonomic Computing. Kluwer Academic Publishers, Volume 10, Issue 7, pp. 365-383,, December 2007. (PDF)
  43. Autonomic Grid Computing – Concepts, Requirements, Infrastructures. M. Parashar. Autonomic Computing: Concepts, Infrastructure and Applications. Editors: M. Parashar and S. Hariri, CRC Press, 2006.
    Semantic Peer-to-Peer Middleware Services
  1. A Decentralized Content-based Aggregation Service for Pervasive Environments. Nanyan Jiang, Cristina Schmidt, Manish Parashar. submitted, Feburary, 2006.
  2. Enabling Applications in Sensor-Based Pervasive Environments. N. Jiang and M. Parashar. Proceedings of BROADNETS 2004: Workshop on Broadband Advanced Sensor Networks BaseNets 2004, San Jose, CA, USA. October 25, 2004. (PDF)
  3. Enabling Flexible Queries with Guarantees in P2P Systems. C. Schmidt and M. Parashar. IEEE Internet Computing, Special issue on Data Dissemination on the Web. Vol. 8, No. 3, pp. 19-26, May/June 2004. (HTM)
  4. A Peer-to-Peer Approach to Web Service Discovery. C. Schmidt and M. Parashar. World Wide Web Journal. Vol. 7, Issue 2, pp. 211-229, June 2004. (HTM)
  5. SQUID: A Decentralized Discovery Service. C. Schmidt and M. Parashar. CAIP Update, Center for Advanced Information Processing. Rutgers University, Vol. 15, No. 1, 2003. (Archived at www.caip.rutgers.edu).
  6. Engineering A Peer-to-Peer Collaboratory for Tissue Microarray Research. C. Schmidt, M. Parashar, W. Chen and D. Foran. Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments CLADE 2004, Honolulu, HI, USA. pp. 64 - 73, June 2004. (PDF)
  7. Flexible Information Discovery in Decentralized Distributed Systems. C. Schmidt and M. Parashar. Proceedings of the 12th International Symposium on High Performance Distributed Computing, Seattle, WA, USA. pp 226 - 235, June 2003. (PDF)
  8. A Peer to Peer Approach to Web Service Discovery. C. Schmidt and M. Parashar. Proceedings of the 2003 International Conference on Web Service ICWS '03, Las Vegas, NV, USA, Computer Science Research, Education and Applications CSREA. (PDF)
  9. Project METEOR: A Content-based Middleware for Decoupled Interactions in Pervasive Environments. N. Jiang, C. Schmidt, V. Matossian, and M. Parashar. CAIP Update, Center for Advanced Information Processing, Rutgers University. Vol. 15, No. 1, 2004. (PDF)
  10. Latency Performance of SOAP Implementations. D. Davis and M. Parashar. 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, Berlin, Germany. pp.407-412, May 2002. (PDF)
  11. A Study of Discovery Mechanisms For Peer-to-Peer Applications. M. Kelaskar, V. Matossian, P. Mehra, D. Paul, A. Vaidhyanathan and M. Parashar. 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, Berlin, Germany. pp. 444-445 May 2002. (PDF)
  12. When the Grid becomes Pervasive: A Vision on Pervasive Grids. M. Parashar and J-M. Pierson. Symposium on Defining the Grid: Experiences and Future Trends. Proceedings of the 8th Hellenic European Research on Computer Mathematics & its Applications Conference (HERCMA 2007), Athens, Greece, September 2007. (PDF)
  13. Design and implementation of a Distributed Content-based Notification Broker for WS-Notification. A. Quiroz and M. Parashar. Proceedings of the 7th IEEE International Conference on Grid Computing (Grid 2006). Barcelona, Spain, IEEE Computer Society Press, pp. 207 – 214, September 2006. (PDF)
  14. A Framework for Distributed Content-based Web-Services Notification in Grid Systems. A. Quiroz and M. Parashar. To appear in Future Generation Computer Systems (2007).
  15. A Middleware Infrastructure for Content-based Decoupled Interactions in Pervasive Grid Environments. Concurrency and Computation: Practice and Experience. John Wiley and Sons, accepted 2007. (HTM)
    Autonomic Applications
  1. Autonomic Runtime Manager for Large Scale Adaptive Distributed Application. J. Yang, H. Chen, S. Hariri and M. Parashar. Proceedings of the 14th IEEE International Symposium on High Performance Distributed Computing HPDC 2005, Research Triangle Park, NC, USA. pp. 69 - 78, July 2005. (PDF)
  2. Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M Wheeler. FGCS - The International Journal of Grid Computing: Theory, Methods and Applications. Vol. 21, Issue 1, pp 19 - 26, 2005. (PDF)
  3. Towards Dynamic Data-Driven Optimization of Oil Well Placement. M. Parashar, V. Matossian, W. Bangerth, H. Klie, B. Rutt, T. Kurc, U. Catalyurek, J. Saltz and M. Wheeler. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science, ICCS 2005. Vol. 3514-3516, pp. 656 - 663, May 2005. (PDF)
  4. An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. W. Bangerth, H. Klie, V. Matossian, M. Parashar, M.F. Wheeler. Cluster Computing: The Journal of Networks, Software Tools, and Applications, Special Issue on Challenges of Large Applications in Distributed Environments. Vol. 8, No. 4, pp. 255 - 269, 2005. (PDF)
  5. Enabling Interactive Oil Reservoir Simulations on the Grid. M. Parashar, R. Muralidhar, W. Lee, M. Wheeler, D. Arnold, and J. Dongarra. Concurrency and Computation: Practice and Experience. Vol. 17, Issue 2, pp. 1. 28, 2005. (PDF)
  6. A Simulation and Data Analysis System for Large Scale, Data-Driven Oil Reservoir Simulation Studies. 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. Concurrency and Computation: Practice and Experience. Vol. 17, Issue 11, pp 1441 - 1467, September 2005. (PDF)
  7. Towards Autonomic Application-Sensitive Partitioning for SAMR Applications. S. Chandra and M. Parashar. Journal of Parallel and Distributed Computing. Vol. 65, Issue 4, pp 519 - 531, April 2005. (PDF)
  8. Self-Optimizing of Large Scale Wild Fire Simulations. J. Yang, H. Chen, S. Hariri and M. Parashar. Proceedings of the 5th International Conference on Computational Science, ICCS 2005, Atlanta, GA, USA. May 2005. (PDF)
  9. Autonomic Oil Reservoir Optimization on the Grid. V. Bhat, V. Matossian, M. Parashar, M. Peszynska, M. Sen, P. Stoffa and M. F. Wheeler. Concurrency and Computation: Practice and Experience. Vol. 17, Issue 1, pp. 1 - 26, 2005. (PDF)
  10. High Performance Threaded Data Streaming for Large Scale Simulations. V. Bhat, S. Klasky, S. Atchley, M. Beck, D. McCune and M. Parashar. Proceedings of 5th International Workshop on Grid Computing, Grid 2004, Pittsburgh PA. pp 243-250, November 2004. (PDF)
  11. A Dynamic Geometry-Based Shared Space Interaction Framework for Parallel Scientific Applications. L. Zhang and M. Parashar. Proceedings of the 11th International Conference on High Performance Computing, Bangalore, India. Vol. 3296, pp. 189 - 199, December 2004. (PDF)
  12. An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. V. Matossian, M. Parashar, W. Bangerth, H. Klie, M.F. Wheeler. Cluster Computing: The Journal of Networks, Software Tools, and Applications. March 2004. (PDF)
  13. Parallel Well Location Optimization using Stochastic Algorithms on the Grid. V. Matossian, M. Parashar, W. Bangerth, H. Klie, M.F. Wheeler. Proceedings of the 9th European Conference on the Mathematics of Oil Recovery - ECMOR IX, Cannes, France. August-September, 2004.
  14. Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M Wheeler. FGCS - The International Journal of Grid Computing: Theory, Methods and Applications. Vol. 21, Issue 1, pp 19 . 26, 2005. (PDF)
  15. Multivariate Statistical Online Analysis for Self Protection against Network Attacks. G. Qu, S. Hariri, X. Zhu, J Jin, M. Yousif, and M. Parashar. Proceedings of the IEEE International Conference on Information and Computer Science, ICICS 2004, Dhahran, Saudi Arabia. November 2004. (PDF)
  16. Online Monitoring and Analysis for Self-Protection against Network Attacks. G. Qu, S. Hariri, S. Jangiti, J. Rudraraju, S. Oh, S. Fayssal, G. Zhang and M. Parashar. Proceedings of 1st IEEE International Conference on Autonomic Computing, ICAC-04, New York, NY, USA. pp. 324 - 325, May 2004. (DOC)
  17. GridARM: An Autonomic Runtime Management Framework for SAMR Applications in Grid Environments. S. Chandra, M. Parashar and S. Hariri. New Frontiers in High-Performance Computing, Proceedings of the Autonomic Applications Workshop 10th International Conference on High Performance Computing, HiPC 2003, Hyderabad, India. pp. 286 - 295, December 2003. (PDF)
  18. vGrid: A Framework for Development and Execution of Autonomic Grid Applications. B. Khargharia, S. Hariri, B. Kim, M. Zhang, P. Vadlamani, and M. Parashar. New Frontiers in High-Performance Computing, Proceedings of the Autonomic Applications Workshop, 10th International Conference on High Performance Computing HiPC 2003, Hyderabad, India. pp. 269 - 285, December 2003. (PDF)
  19. Enabling Peer-to-Peer Interactions for Scientific Applications on the Grid. V. Matossian and M. Parashar. Proceedings of the 9th International Euro-Par Conference, Euro-Par, Klagenfurt, Austria. Vol. 2790, pp 1240 - 1247, August 2003. (PDF)
  20. Autonomic Optimization of an Oil Reservoir using Decentralized Services. V. Matossian and M. Parashar. Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing-- Challenges for Large Applications in Distributed Environments, CLADE 2003, Seattle, WA, USA. pp. 2-9, June 2003. (PDF)
  21. vGrid: A Framework for Building Autonomic Applications. B. Khargharia, S. Hariri and M. Parashar. Proceedings of the 1st International Workshop on Heterogeneous and Adaptive Computing-- Challenges of Large Applications in Distributed Environments, CLADE 2003, Seattle, WA, USA. pp. 19-26, June 2003. (PDF)
  22. Self Adapting, Self Optimizing Runtime Management of Grid Applications using PRAGMA. H. Zhu, M. Parashar, J. Yang, Y. Zhang, S. Rao and S. Hariri. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 17th International Parallel and Distributed Processing Symposium, NICE, France. April 2003. (PDF)

Computational Collaboratories and Grid Computing Environments

    CommetG
  1. Asynchronous Replica Exchange for Molecular Simulations. E. Gallicchio, R. M. Levy, M. Parashar. Journal of Computational Chemistry. Wiley Interscience (To Appear). (PDF)
  2. Grid-based Asynchronous Replica Exchange,” Z. Li and M. Parashar. Proceedings of the 8th IEEE/ACM International Conference on Grid Computing (Grid 2007). Austin, TX, USA, IEEE Computer Society Press, September 2007. (PDF)
  3. Z. Li and M. Parashar. A Computational Infrastructure for Grid-based Asynchronous Parallel Applications. Poster, Proceedings of the 16th International Symposium on High-Performance Distributed Computing (HPDC). Monterey, CA, USA, IEEE Computer Society Press, June 2007. (PDF)
  4. Z. Li and M. Parashar. A Decentralized Computational Infrastructure for Grid-Based Parallel Asynchronous Iterative Applications. Journal of Grid Computing. pp. 1 - 18, May 2006. (PDF)
    DIOS / DIOS++
  1. 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, No. 4, pp. 272 – 282, 2005. (PDF)
  2. H. Liu, L. Jiang, M. Parashar and D. Silver. Rule-Based Visualization in the Discover Computational Steering Collaboratory. FGCS – The International Journal of Grid Computing: Theory, Methods and Applications (FGCS). Elsevier Science Publishers, Vol. 21, Issue 1, pp 53– 59, 2005. (PDF)
  3. 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. (PDF)
  4. 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, Klagenfurt, Austria, Vol. 2790, pp 66 – 73, August 2003. (PDF)
  5. 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. (PDF)
  6. 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, Manchester, UK, Vol. 2150, pp 67 – 74, August 2001. (PDF)
  7. 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. (PDF)
    CORBA Commodity Grid Project (CORBA CoG Kit)
  1. A CORBA Commodity Grid Kit. M. Parashar, G. von Laszewski, S. Verma, J. Gawor, K. Keahey, and N. Rehn. Concurrency and Computation: Practice and Experience, Special Issue on Grid Computing Environments. Vol. 14, Issue 13-15, pp.1057-1074, 2002. (PDF)
  2. Design and Implementation of a CORBA Commodity Grid Kit. S. Verma, M. Parashar, J. Gawor, and G. von Laszewski. Proceedings of the 2nd International Workshop on Grid Computing, Lecture Notes in Computer Science, Denver, CO. Vol. 2242, pp. 2-13, November 2001. (PDF)
  3. CORBA Commodity Grid Toolkit. M. Parashar. Community Practice Paper, 1st Global Grid Forum, Amsterdam, Netherlands. March 2001. (PDF) (ORG)
    The Discover Project
  1. Application of Grid-enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. M. Parashar, H. Klie, U. Catalyurek, T. Kurc, V. Matossian, J. Saltz and M. Wheeler. Proceedings of the Workshop on Distributed Data Driven Applications and Systems, International Conference on Computational Science 2004 (ICCS 2004), Krakow, Poland. June 2004. (PDF)
  2. A Middleware Substrate for Integrating Services on the Grid. V. Bhat and M. Parashar. Journal of Supercomputing, Special Issue on Infrastructures and Applications for Cluster and Grid Computing Environments. January 2004. (PDF)
  3. Autonomic and Interactive Data-Driven Simulations using Discover. M. Agarwal, V. Bhat, V. Matossian, and M. Parashar. Minisymposium on Electronic Fields of the Future: Mathematical and Computational Challenges. SIAM Conference on Mathematical and Computational Issues in the Geosciences(GS03), Austin, TX, March 2003.
  4. Discover Middleware Substrate for Integrating Services on the Grid. V. Bhat and M. Parashar. Proceedings of the 10th International Conference on High Performance Computing (HiPC 2003), Hyderabad, India. Vol. 2913, pp 373 - 382, December 2003. (PDF)
  5. Interactive and Collaborative Oil Reservoir Simulations on the Grid. M. Parashar, W. Lee, M. Wheeler, D. Arnold, and J. Dongarra. Concurrency and Computation: Practice and Experience. (PDF)
  6. Enabling Interactive and Collaborative Computational Science on the Grid. P. Mehra and M. Parashar. Proceedings of the1st International Workshop on Web-based Collaboratories (Wbc-2003), IADIS International Conference WWW/Internet 2003, Algarve, Portugal. November 2003. (PDF)
  7. A Distributed Object Infrastructure for Interaction and Steering. R. Muralidhar and M. Parashar. Concurrency and Computation: Practice and Experience, Special Issue Euro-Par 2001. Vol. 15, Issue 10, pp. 957 - 977, 2003. (PDF)
  8. Page Rank Prefetching for Optimizing Access to Web Page Clusters. V. Safronov and M. Parashar. Information Sciences Journal. Vol. 150, Number 3-4, pp. 165 - 176, April 2003. (PDF)
  9. Real Time Feature Extraction and Tracking in a Computational Steering Environment. J. Chen, D. Silver and M. Parashar. Proceedings of the High Performance Computing Symposium (HPC2003), Society for Modeling and Simulation International, San Diego. pp 155-160, 2003. (PDF)
  10. Engineering an Interoperable Computational Collaboratory on the Grid. V. Mann and M. Parashar. Concurrency and Computation: Practice and Experience, Special Issue on Grid Computing Environments. Vol 14, Issue 13-15, pp. 1569-1593, 2002. (PDF)
  11. Optimizing Web Servers Using Page Rank Prefetching for Clustered Accesses. V. Safronov and M. Parashar. World Wide Web, Internet and Web Information Systems. Vol. 5, No. 1, pp. 25-40, June 2002. (PDF)
  12. Using Page Rank Prefetching for Clustered Web Accesses. V. Safronov and M. Parashar. Proceedings of the 4th Workshop on Information and Computer Science, Dhahran, Saudi Arabia. pp 451-465, March 2002. (PDF)
  13. A Distributed Object Infrastructure for Interaction and Steering. R. Muralidhar and M. Parashar. Proceedings of the 7th International Euro-Par Conference (Euro-Par 2001), Manchester, UK. Vol. 2150, pp 67 - 74, August 2001. (PDF)
  14. Middleware Support for Global Access to Integrated Computational Collaboratories. V. Mann and M. Parashar. Proceedings of 10th IEEE International Symposium on High Performance Distributed Computing, San Francisco, CA. pp 35 - 46, August 2001. (PDF)
  15. A Distributed Object Infrastructure for Interaction and Steering. R. Muralidhar and M. Parashar. Proceedings of the 7th International Euro-Par Conference (Euro-Par 2001), Manchester, UK. Vol. 2150, pp 67 - 74, August 2001. (PDF)
  16. DISCOVER: An Environment for Web-based Interaction and Steering of High-Performance Scientific Applications. V. Mann, V. Matossian, R. Muralidhar, and M. Parashar. Concurrency and Computation: Practice and Experience. Vol.13, Issue 8-9, pp 737 - 754, 2001. (PDF)
  17. Engineering a Distributed Computational Collaboratory. S. Kaur, V. Mann, V. Matossian, R. Muralidhar, M. Parashar. Proceeding of the 34th Hawaii Conference on System Sciences, Hawaii, USA. January 2001. (PDF)
  18. An Architecture for Web-based Interaction and Steering of Adaptive Parallel/Distributed Applications. R. Muralidhar, S. Kaur, and M. Parashar. Proceedings of the 6th International Euro-Par Conference (Euro-Par 2000), Munich, Germany. Vol. 117, pp 1332 -1339, August-September 2000. (PDF)
  19. An Object Infrastructure for Computational Steering of Distributed Simulations. R. Muralidhar and M. Parashar. Proceedings of the Ninth IEEE International Symposium on High-Performance Distributed Computing (HPDC 2000). pp. 304 - 305, August 2000. (PDF)
  20. An Environment for Web-based Interaction and Steering of High- Performance Scientific Applications. S. Kaur, R. Muralidhar, M. Parashar. ACM Java Grande Conference, San Francisco, CA. June 2000. (PDF)
  21. DISCOVER: An Interactive Computational Collaboratory for Grid Applications. M. Parashar. Community Practice Paper, 1st Global Grid Forum, Amsterdam, Netherlands. March 2001. (PDF)
  22. DISCOVER: A Virtual Interactive Computational Collaboratory. M. Dhillon, S. Kaur, V. Mann, V. Matossian, R. Muralidhar, A. Swaminathan, S. Verma, and M. Parashar. CAIP Update, Center for Advanced Information Processing, Rutgers University. Vol. 13, No. 2, 2000. (PDF)
  23. Using Java Interaction Proxies for Web-based Steering of Distributed Simulations. R. Muralidhar and M. Parashar. Proceedings of the First Conference on Distributed Objects in Computational Science (Held in Conjunction with the PDPTA Series of Conferences), Las Vegas, NV. March 2000. (PDF)
  24. Semantic Communication for Distributed Information Coordination. P. Bhandarkar and M. Parashar. Proceedings of the IEEE Conference on Information Technology, Syracuse, NY. pp. 149-152, September 1998. (PDF)

Asynchronous and Adaptive Computational Engines (ACE)

    Grid Adaptive Computational Engine (GrACE)
  1. Systems Engineering for High Performance Computing Software: The HDDA/DAGH Infrastructure for Implementation of Parallel Structured Adaptive Mesh Refinement. M. Parashar and J. C. Browne. IMA Volume 117: Structured Adaptive Mesh Refinement (SAMR) Grid Methods. pp. 1 - 18, January 2000. (PDF)
  2. HDDA: A Distributed Dynamics Data Structure for Parallel Adaptive Computations. M. Parashar. CAIP Update, Center for Advanced Information Processing, Rutgers University. Vol. 11, No. 4, 1998. (PDF)
  3. Integrated Data-Management for Computational Steering. M. Parashar. IEEE Conference on Information Technology, Syracuse, NY. pp. 61-64, September 1998. (PDF)
  4. Integrated Data-Management for Computational Steering. M. Parashar and J. C. Browne. Proceedings of 31st Annual Hawaii International Conference on System Sciences, Kohala Coast, Hawaii. January 1998. (PS)
  5. A Common Data Management Infrastructure for Parallel Adaptive Algorithms for PDE Solutions. M. Parashar, J. C. Browne, C. Edwards, and K. Klimkowsky. Proceeding of Supercomputing '97(ACM Sigarch and IEEE Computer Society), San Jose, CA. November 1997. (HTM)
  6. A Computational Infrastructure for Parallel Adaptive Methods. M. Parashar, J. C. Browne, C. Edwards, and K. Klimkowsky. Symposium on Parallel Adaptive Method, 4th U.S. Congress on Computational Mechanics, San Francisco, CA. August 1997. (PDF)
  7. Systems Engineering Issues in the Implementation of an Infrastructure for Parallel Structured Adaptive Meshes. M. Parashar and J. C. Browne. Proceedings of Workshop on Structured Adaptive Mesh Refinement Grid Methods, SIAM Conference on Parallel Processing for Scientific Computing, Minneapolis, MN. (HTML)
  8. Object-Oriented Programming Abstractions for Parallel Adaptive Mesh-Refinement. M. Parashar and J. C. Browne. Parallel Object-Oriented Methods and Applications (POOMA), Santa Fe, NM. February 1996. (PS)
  9. On Partitioning Dynamic Adaptive Grid Hierarchies. M. Parashar and J. C. Browne. Proceedings of the 29th Annual Hawaii International Conference on System Sciences, Maui, Hawaii. pp. 604-613, January 1996. (PS)
  10. Distributed Dynamic Data-Structures for Parallel Adaptive Mesh-Refinement. M. Parashar and J. C. Browne. Proceedings of the International Conference for High Performance Computing. pp. 22-27, December 1995. (PS)
    Multiblock Adaptive Computational Engine (MACE)
  1. Parallel Implementation of Multiphysics Multiblock Formulations for Multiphase Flow in the Subsurface. Q. Lu, M. Parashar, M. Peszynska and M. Wheeler. Submitted for publication. March 2003. (PDF)
  2. An Environment for Parallel Multi-Block, Multi-Resolution Reservoir Simulations. M. Parashar and I. Yotov. Proceedings of the 11th International Conference on Parallel and Distributed Computing Systems (PDCS 98), Chicago, IL. pp. 230-235, September 1998. (PDF)
  3. A New Generation EOS Compositional Reservoir Simulator: Framework and Multiprocessing. M. Parashar, J. A. Wheeler, G. Pope, K. Wang, P. Wang. Proceedings of the Society of Petroleum Engineers, Reservoir Simulation Symposium. Paper No. 37977, pp. 31 - 38, June 1997. (PS)
    Adaptive Runtime Management for Dynamic Applications (ARMaDA)
  1. Dynamic Structured Partitioning for Parallel Scientific Applications with Pointwise Varying Workloads. S. Chandra, M. Parashar and J. Ray. Proceedings of the 20th IEEE/ACM International Parallel and Distributed Processing Symposium (IPDPS'06), Rhodes Island, Greece. April 2006. (PDF)
  2. Addressing Spatiotemporal and Computational Heterogeneity for Structured Adaptive Mesh Refinement. S. Chandra and M. Parashar. Computing and Visualization in Science. Springer-Verlag, preprint. (PDF)
  3. Enabling Scalable Parallel Implementations of Structured Adaptive Mesh Refinement Applications. S. Chandra, X. Li, T. Saif and M. Parashar. accepted for publication in the Journal of Supercomputing. Springer Science+Business Media B.V., May 2006. (PDF)
  4. Using Clustering to Address the Heterogeneity and Dynamism in Parallel SAMR Application. X. Li and M. Parashar. Proceedings of the 12th International Conference on High Performance Computing (HiPC 2005), Goa, India. December 2005. (PDF)
  5. Adaptive Runtime Management of Spatial and Temporal Heterogeneity for Dynamic Grid Applications. X. Li and M. Parashar. Proceedings of the 13th High Performance Symposium (HPC 2005), SCS Spring Simulation Multiconference (SpringSim 2005), San Diego, CA. pp. 223 - 228, April 2005. (PDF)
  6. Investigating Autonomic Runtime Management Strategies for SAMR Applications. S. Chandra, M. Parashar, J. Yang, Y. Zhang, and S. Hariri. International Journal of Parallel Programming. Vol. 33, No. 2-3, pp. 247 - 259, June 2005. (PDF)
  7. Autonomic Proactive Runtime Partitioning Strategies for SAMR Applications. Y. Zhang, S. Chandra, J. Yang, S. Hariri, and M. Parashar. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 18th International Parallel and Distributed Processing Symposium, Santa Fe, NM. April 2004. (PDF)
  8. Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement Applications. X. Li and M. Parashar. Journal of Supercomputing. Vol. 28(3), pp.265-278, 2004. (PDF)
  9. Dynamic Load Partitioning Strategies for Managing Data of Space and Time Heterogeneity in Parallel SAMR Applications. X. Li and M. Parashar. Proceedings of 9th International Euro-Par Conference (Euro-Par 2003), Lecture Notes in Computer Science, Klagenfurt, Austria. Vol. 2790, pp 181 - 188, August 2003. (PDF)
  10. Adaptive Runtime Management of SAMR Applications. S. Chandra, S. Sinha, M. Parashar, Y. Zhang, Y. Yang and S. Hariri. Proceedings of the 9th International Conference on High Performance Computing (HiPC 2002), Lecture Notes in Computer Science, Bangalore, India. Vol. 2552 pp 564-574, December 2002. (PDF)
  11. ARMaDA: An Adaptive Application-Sensitive Partitioning Framework for SAMR Applications. S. Chandra and M. Parashar. Proceedings of the 14th IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2002), Cambridge, MA. pp. 446-451, November 2002. (PDF)
  12. Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement (SAMR) Applications. X. Li, S. Ramanathan, and M. Parashar. Proceedings of the 2002 International Conference on Parallel Processing (ICPP 2002), 4th Workshop on High Performance Scientific and Engineering Computing Applications (HPSECA-02), Vancouver, British Columbia, Canada. pp. 336 - 343, August 2002. (PDF)
  13. An Application-Centric Characterization of Domain-Based SFC Partitioners for Parallel SAMR. J. Steensland, S. Chandra, and M. Parashar. IEEE Transactions on Parallel and Distributed Systems. Vol. 13, No. 12, pp. 1275-1289, December 2002. (PDF)
  14. Adaptive Application Sensitive Partitioning Strategies for SAMR Applications. S. Chandra, J. Steensland and M. Parashar. Poster publication at IEEE/ACM Supercomputing 2001, Denver CO (Judged as Best Poster). November 2001.
  15. An Experimental Study of Adaptive Application Sensitive Partitioning Strategies for SAMR Applications. S. Chandra, J. Steensland, M. Parashar, and J. Cummings. Proceedings of the 2nd LACSI (Los Alamos Computer Science Institute) Symposium 2001, Santa Fe, NM. October 2001. (PDF)
  16. Adaptive System-Sensitive Partitioning of AMR Applications on Heterogeneous Clusters. S. Sinha and M. Parashar. Cluster Computing: The Journal of Networks, Software Tools, and Applications. Vol. 5, Issue 4, pp. 343-352, 2002. (PDF)
  17. Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters. S. Sinha and M. Parashar. Proceedings of the 3rd IEEE International Conference on Cluster Computing, Newport Beach, CA. pp 435 - 442, October 2001. (PDF)
  18. An Evaluation of Partitioners for Parallel SAMR Applications. S. Chandra and M. Parashar. Proceedings of the 7th International Euro-Par Conference (Euro-Par 2001), Lecture Notes in Computer Science, Manchester, UK. Vol. 2150, pp 171 - 174, August 2001. (PDF)
  19. A Multi-Threaded Communication Engine for Distributed Adaptive Applications. S. Ramanathan and M. Parashar. Proceedings of the 2001 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2001), Nevada, USA. pp 692-698, June 2001. (PDF)
  20. Distributed Adaptive and Interactive Simulations using Structured Adaptive Mesh Refinement. M. Parashar. 13PthP SIAM Conference on Parallel Processing and Scientific Computing (PP06). San Francisco, CA, February 2006.
  21. GrACE-PPM: A Distributed Dynamic Adaptive Mesh CFD Environment for Accelerated Inhomogeneous Compressible Flows. S. Zhang, M. Parashar and N. J. Zabusky. 54PthP Annual Meeting of Division of Fluid Dynamics, The American Physical Society. San Diego, CA, November 2001.
  22. System Sensitive Runtime Management of Adaptive Applications on Heterogeneous Environments. S. Sinha and M. Parashar. Proceedings of the 15th International Parallel and Distributed Computing Symposium (IEEE, ACM), 10th Heterogeneous Computing Workshop, San Francisco, CA. April 2001. (PDF)
  23. System Sensitive Runtime Management of Adaptive Applications. S. Sinha and M. Parashar. Abstract/Presentation at the 10th SIAM Conference on Parallel Processing for Scientific Computing, Portsmouth, VA. March 2001. (PDF) (HTM)
  24. Characterization of Domain-based Partitioners for Parallel SAMR Applications. J. Steensland, M. Thune, S. Chandra, and M. Parashar. Proceedings of the IASTED International Conference on Parallel and Distributed Computing Systems, Las Vegas, NV. pp. 425 - 430, November 2000. (PDF)
  25. PRAGMA: An Infrastructure for Runtime Management of Grid Applications. M. Parashar and S. Hariri. Proceedings of the NSF Next Generation Systems Program Workshop, IEEE/ACM 16PthP International Parallel and Distributed Processing Symposium. Fort Lauderdale, FL, USA, CDROM, IEEE Computer Society Press, 8 pages April 2002. (PDF)
  26. Application Sensitive Performance Management for SAMR Applications. S. Chandra and M. Parashar. Research poster at ASCI/ASAP Research Review, DOE ASCI/ASAP Center of Excellence. California Institute of Technology, Pasadena, CA, October 2002.
  27. Scalability of Irregular Adaptive Mesh Refinement. M. Parashar. Scalability Workshop, ACM International Conference on Supercomputing, Santa Fe, NM. May 11-12, 2000. (HTM)
  28. Adaptive Distribution of Dynamic Grid Hierarchies. S. Ramanathan and M. Parashar. Abstract/Presentation at the special session on "Parallel Adaptive Computations," p and hp Finite Element Method: Mathematics and Engineering Practice, St. Louis, MO. pp. 86, May 2000. (HTM)
  29. Analyzing the Impact of Computational Heterogeneity on Runtime Performance of Parallel Scientific Components. S. Chandra, M. Parashar and J. Ray. Proceedings of the High Performance Computing Symposium (HPC 2007), SCS Spring Simulation Multconference (SpringSim07). Norfolk, VA, USA, March 2007. (PDF)
  30. GridMate: A Simulator for Adaptive Runtime Management of Dynamic Applications in Multi-site Grid Systems. X. Li and M. Parashar. Proceedings of the 2007 International Conference on Grid Computing and Applications (GCA 2007). Las Vegas, Nevada, USA, pp 130 - 136, June 2007.
  31. Hybrid Runtime Management of Space-Time Heterogeneity for Dynamic SAMR Applications. X. Li and M. Parashar. IEEE Transactions on Parallel and Distributed Systems. IEEE Computer Society Press, Volume 18, Number 8, pp. 1202 - 1214, August 2007. (PDF)
  32. GridMate: A Portable Simulation Environment for Large-Scale Adaptive Scientific Applications. X. Li and M. Parashar. Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008). Lyon, France. IEEE Computer Society, pp. 82 - 89, May 2008. (PDF)
  33. Characterizing the Performance of Dynamic Distribution and Load-Balancing Techniques for Adaptive Grid Hierarchies. S. Bhavsar, M. Shee, and M. Parashar. IASTED International Conference on Parallel and Distributed Computing and Systems, Cambridge, MA. pp. 782-787, November 3-6, 1999. (PDF)
  34. A Characterization of Distribution Techniques for Dynamic Adaptive Grid Hierarchies. S. Bhavsar, M. Shee, and M. Parashar. 5th U.S. National Congress on Computational Mechanics (USACM), Boulder, CO. pp. 198, August 1999. (PDF) (HTM)
  35. An Application-Centric Characterization of Distribution Techniques for Dynamic Adaptive Grid Hierarchies. S. Bhavsar, M. Shee, and M. Parashar. 1999 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 99), Las Vegas, NV. pp. 2530-2536, June 1999. (PDF)
    Seine: Geometry-based Shared Space Interaction Framework
  1. Experiments with Wide Area Data Coupling Using the Seine Framework. L. Zhang, and M. Parashar. Proceedings of the 13th IEEE International Conference on High Performance Computing (HiPC 2006). Bangalore, India, Springer-Verlag, December 2006. (PDF)
  2. 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. (PDF)
  3. 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). Columbus, OH, USA, IEEE Computer Society Press, pp. 127 - 134, August 2006. (PDF)
  4. Seine: A Dynamic Geometry-based Shared Space Interaction Framework for Parallel Scientific Applications. L. Zhang and M. Parashar. Concurrency and Computation: Practice and Experience. 2005.
  5. A Dynamic Geometry-based Shared Space Interaction Framework for Parallel Scientific Applications. L. Zhang, M.Parashar. Proceedings of the 11th Annual International Conference on High Performance Computing (HiPC 2004) , Bangalore, India. December 2004. (PDF)
    Adaptive and Opportunistic Cluster Computing
  1. Using a Jini based Desktop Grid for Test Vector Compaction and a Refined Economic Model. T. Raja and M. Parashar. Poster Publication, 4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid2004), Chicago, IL. April 2004. (PDF)
  2. A Framework for Adaptive Cluster Computing using JavaSpaces. J. Batheja and M. Parashar. Cluster Computing: The Journal of Networks, Software Tools, and Applications. Vol. 6, Issue 3, pp. 201 - 213, 2003. (PDF)
  3. Adaptive Cluster Computing using JavaSpaces. J. Batheja and M. Parashar. Proceedings of the 3rd IEEE International Conference on Cluster Computing, Newport Beach, CA. pp 323 - 330, October 2001. (PDF)
  4. A Framework for Opportunistic Cluster Computing using JavaSpaces. J. Batheja and M. Parashar. Proceedings of the 9th International Conference on High Performance Computing and Networking (HPCN 2001), Workshop on Java in High Performance Computing, Amsterdam, Netherlands. Vol. 2110, pp 647 - 656, June 2001. (PDF)

Miscellaneous Publications

    Books
  1. A. V. Vasilakos, M. Parashar, S. Karnouskos, W. Pedrycz. Autonomic Communication. Spring Science-Business Media, estimated publication, August 2009.
  2. M. Parashar and S. Hariri. Autonomic Computing: Foundations for a New Era in Computing. Kluwer Academic Publishers, estimated publication in May 2009.
  3. M. Parashar, S. Chandra, X. Li. Advanced Computational Infrastructures for Parallel and Distributed Applications. John Wiley and Sons, estimated publication, December 2008.
  4. M. Parashar, S. Chandra, X. Li. Advanced Computational Infrastructures for Parallel and Distributed Applications. M. Parashar, S. Chandra, X. Li.
  5. M. Parashar and S. Hariri. Autonomic Computing: Concepts, Infrastructure and Applications. CRC Press, estimated publication in December 2006.
  6. 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, 212 pages, 2004. (HTML)
    Book Chapters
  1. S. Klasky et al. High Throughput Data Movement. cientific Data Management– Challenges, Existing Technologies, and Deployment. Editors: A. Shoshani and D. Rotem, Chapman and Hall, ISBN 9781420069808, 2009.
  2. L. Zhang and M. Parashar. Shared Memory Multiprocessors. Wiley Encyclopedia of Computer Science and Engineering. Editor: B. Wah, John Wiley and Sons, Inc., 2007.
  3. M. Parashar. Autonomic Grid Computing - Concepts, Requirements, Infrastructures. Autonomic Computing: Concepts, Infrastructure and Applications. Editors: M. Parashar and S. Hariri, CRC Press, 2006.
  4. 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, 2006. (PDF)
  5. 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, 2006.
  6. 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, 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.
  7. L. Zhang and M. Parashar. Shared Memory Multiprocessors. Encyclopedia of Computer Science and Engineering. Editor: B. Wah, John Wiley and Sons, Inc, 2006.
  8. J. D. Teresco, J. E. Flaherty, S. B. Baden, J. Faik, S. Lacour, M. Parashar, V. E. Taylor, C. Varela. Approaches to Architecture-Aware Parallel Scientific Computation. Proc. PP04: Frontiers of Scientific Computing. Siam Press, 2005. (Also available as Williams College Department of Computer Science Technical Report CS-04-09, 2004.).
  9. 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.
  10. 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.
  11. 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, LNCS, Springer Verlag, Vol. 3460, pp. 273 - 290, 2005.
  12. 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, May 2004.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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. (PDF)
  18. R. Henderson, D. Meiron, M. Parashar, and R. Samtaney. Parallel Computing in Computational Fluid Dynamics. CRPC Handbook of Parallel Computing. Edited by J. Dongarra, I. Foster, G. C. Fox, K. Kennedy, L. Torczon, and A. White, Morgan Kaufmann Publishers, 2001.
  19. 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. Edited by J. Dongarra, I. Foster, G. C. Fox, K. Kennedy, L. Torczon, and A. White, Morgan Kaufmann Publishers, 2001.
  20. 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.
    PhD. Theses
  1. Vincent Matossian. Analyzing the Impact of Local Perturbations of Network Topologies at the Application-Level. (PDF)
  2. Sumir Chandra. A Multiobjective Approach for Addressing Dynamism and Heterogeneity in Parallel Scientific Simulations. (PDF)
  3. Zhen Li. A Scalable, Decentralized Coordication Infrastructure for Grid Environments. (PDF)
  4. Li Zhang. Enabling Asynchrounous Interaction and Coupling for Parallel Scientific Applications using Decentralized Semantically-specialized Shared Spaces. (PDF)
  5. Guangsen Zhang. Decentralized Information Sharing for Detection and Protection Against Network Attacks. (PDF)
  6. Cristina Simona Schmidt. Flexible Information Discovery With Guarantees In Decentralized Distributed Systems. (PDF)
  7. Maria Liu. Accord: a programming system for autonomic self-managing applications. (PDF)
  8. Xiaolin Li. Adaptive Runtime Management of Spatial And Temporal Heterogeity of Dynamic SAMR Applications. (PDF)
    Masters Theses
  1. Manish Agarwal. Synthesizing Autonomic Compositions in Grid Environment. (PDF)
  2. Jyoti Batheja. A Framework for Opportunistic Cluster Computing Using JavaSpaces. (PDF)
  3. Pravin Bhandarkar. An adaptive framework for collaboration in heterogeneous networks. (PDF)
  4. Viraj Bhat. Middleware Architecture for Integrating Services on the Grid. (PDF)
  5. Sumir Chandra. ARMaDA: A Framework for Adaptive Application-Sensitive Runtime Management of Dynamic Applications. (PDF)
  6. Rangini Chowdhury. Adaptive QoS Management Framework for Collaborative Multimedia Applications on Wired and Wireless Networks. (PDF)
  7. Dan Davis. Content-Based Event Routing with Filter Propagation. (PDF)
  8. Ashish Desai. An Adaptive QoS Mechanism for Multimedia Applications in Heterogeneous Environments. (PDF)
  9. Jyot Desai. Interfacing Geographic Information Systems and Traffic Software (Prof. K. Ozbay, co-advisor). (PDF) (PDF)
  10. Manjot Dhillon. Event Based Architecture for Interactive Computational Collaboratories. (PDF)
  11. Malayil Philip George. Enabling Fault-Tolerant Structured Peer-to-Peer Overlays. (PDF)
  12. Dhaval Kapadia. A Regression Testing System for Grid Adaptive Computation Engine. (PDF)
  13. Samian Kaur. Quantitative Analysis of Robustness and Scalability for Messaging Protocols.
  14. Hormuzd Khosravi. Design and Evaluation of a Reservation Protocol for Mobile Multimedia Networks.
  15. Hilda Klasky. A Study of Software Metrics. (PDF)
  16. Manish Mahajan. Content Aware QoS Management for Multimedia Applications in a Differentiated Services Environment. (PDF)
  17. Vijay Mann. Middleware Architecture for Integrated Computational Collaboratories. (PDF)
  18. Vincent Matossian. Enabling Peer-to-Peer Interactions on the Grid. (PDF)
  19. Preeti Mehra. Interaction Streams - An Approach for Workspace Management in Collaborative Environments. (PDF)
  20. Rajeev Muralidhar. A Distributed object framework for the interactive steering of high performance applications. (PS)
  21. Dennis Paul. Dependency-Based Approach to Relational Query Estimation.
  22. Niraj Prabhavalkar. The design and evaluation of network services in an active network architectural framework. (PDF)
  23. Venkatesh Putty. Snap: A Local, Asynchronous Interaction Framework for Pervasive Applications. (PDF)
  24. Ananth Ramanathan. Active Resource Management for the Differentiated Services Environment. (PDF)
  25. Sivapriya Ramanathan. Performance Optimization for Dynamic Adaptive Grid Hierarchies. (PDF)
  26. Victor Safronov. Optimizing Web Servers Using Page Rank Pre-fetching for Clustered Accesses. (PDF)
  27. Taher Saif. Architecture Specific Communication Optimizations for Structured Adaptive Mesh Refinement applications. (PDF)
  28. Mausumi Shee. Evaluation and optimization of load balancing/distribution techniques for Dynamic Adaptive Grid Hierarchies. (PDF)
  29. Shweta Sinha. System Sensitive Runtime Management of Dynamic Applications. (PS)
  30. Richard Strong. Semantic Framework for Story Detection.
  31. John J. Thomas. The Virtual Desktop - A Framework for Asynchronous Collaboration.
  32. Snigdha Verma. Design and Implementation of the CORBA Commodity Grid Kit. (PDF)
  33. Guangsen Zhang. Dynamic Context Aware Access Control for Grid Applications. (PDF)
  34. Shuang Zhang. Adaptive Mesh Refinement and Visiometrics in Accelerated Inhomogeneous Flows. (PDF)
    Techinical Reports
  1. High Speed Asynchronous Data Transfers on the Cray XT3. Technical Report number TR-284. Center for Advanced Information Processing, Rutgers University, Piscataway, NJ, USA, May 2007.
  2. Z. Li and M. Parashar. An Infrastructure for the Dynamic Composition of Grid Service. Technical Report. Center for Advanced Information Processing, Rutgers University, April 2007.
  3. Dispatch: Dynamic Structured Partitioning for Applications with Computational Heterogeneity. Technical Report Number TR-281. Center for Advanced Information Processing, Rutgers University, Piscataway, NJ, USA, December 2005.
  4. 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.
  5. 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.
  6. 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.
  7. 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. (PDF)
  8. Content-based Middleware for Decoupled Interactions in Pervasive Envionments. N. Jiang, C. Schmidt, V. Matossian and M. Parashar. Technical Report Number-252. Wireless Information Network Laboratory (WINLAB) , Rutgers University, April 2004. (PDF)
  9. 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. (PDF)
  10. 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. (PDF)
  11. 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. (PDF)
  12. 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. (PDF)
  13. 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.
  14. P. Bhandarkar and M. Parashar. Replicating Distributed Events for Real-Time Collaboration. Technical Report. Department of Electrical and Computer Engineering, Rutgers University, 23 pages, June 1998. (Available at www.caip.rutgers.edu/TASSL/Projects/SEM/). (PS)
  15. M. Parashar. Adaptive Mesh Refinement using DAGH: A Tutorial. Technical Report. Department of Electrical and Computer Engineering, Rutgers University, 140 pages, June 1998.
  16. M. Parashar and P. Walker. Building Programming Environments for Parallel Adaptive Finite Difference Applications. Technical Report. Albert-Einstein Institute, Max Plank Institue, Potsdam, Germany, 12 pages, August 1997. (DE)
  17. M. Parashar, M. W. Choptuik and S. Klasky. Parallel Multigrid on Adaptive Mesh Refinement Hierarchies. Technical Report. Center for Relativity, University of Texas at Austin, 31 pages, September 1995. (EDU)
  18. M. Parashar. DAGH Users Guide. Technical Report. TICAM, University of Texas at Austin, 20 pages, June 1995.
  19. M. Parashar and J. C. Browne. An Infrastructure for Parallel Adaptive Mesh-Refinement Techniques. Technical Report. TICAM, University of Texas at Austin, 27 pages, April 1995.
  20. M. Parashar and J. C. Browne. Programming Abstraction for Parallel Adaptive Mesh-Refinement. Technical Report. TICAM, University of Texas at Austin, 4 pages, April 1995.
  21. M. Parashar. A Survey of Software Systems Supporting Parallel/Distributed Grids. Technical Report. TICAM, University of Texas at Austin, 22 pages, December 1994.
  22. B. Thiagarajan, D. Jadav, M. Parashar, S. Hariri, 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.
  23. M. Parashar and S. Hariri. An Integrated Software Development Model for Heterogeneous High Performance Computing. NPAC Technical Report SCCS-453. Syracuse University, 22 pages, March 1993. (PS)
  24. M. Parashar and S. Hariri. An Intelligent Performance Optimizer for Network-Based Distributed Systems. NPAC Technical Report SCCS-418. Syracuse University, March 1993.
  25. M. Parashar, S. Hariri, J. Park, F. Yu, and G. C. Fox. An Environment for High Performance Distributed Computing. NPAC Technical Report. November 1992.
  26. M. Parashar, S. Hariri, J. Park, F. Yu, and G. C. Fox. A Case for Heterogeneous Network Computing. NPAC Technical Report SCCS-417. 36 pages, November 1992. (PS)
  27. M. Parashar, S. Hariri and K. Jabbour. An Expert System for Performance Management. NPAC Technical Report SCCS-354. Syracuse University, 10 pages, August 1992.
  28. M. Parashar and S. Hariri. MHiSS: A Memory Hierarchy for Stable Storage. NPAC Technical Report SCCS-355. Syracuse University, August 1992.
  29. A. G. Mohamed, G. C. Fox, G. von Laszewski, M. Parashar, T. Haupt, K. Mills, YingHua Lu, NengTan Lin, and Nangkang Yeh. Application Benchmark Set for Fortran D and High Performance Fortran. NPAC Technical Report SCCS-327. Syracuse University, 49 pages, June 1992. (PS)
  30. 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, 29 pages, March 1992. (PS)
    Presentations and Movies
  1. 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.
  2. Computational Support for Dynamic Parallel/Distributed Applications. Distinguished Seminar. CASL, UCD Dublin, Ireland, August 2008.
  3. 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.
  4. 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.
  5. Addressing Challenges of Adaptivity and Scale in Parallel Scientific Applications. Seminar Series, Department of Computer Science. Drexel University, Philadelphia, PA, May 2008.
  6. Autonomic for Data/Information-Driven Science and Engineering. Invited Seminar. Department of Computer Science, Florida International University, Miami, FL, April, 2008.
  7. 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.
  8. Autonomics for Computational Science and Engineering. Invited Presentation. Distributed Programming Abstractions Workshop, Mardi Gras Conference 2008, Baton Rouge, LA, USA, January, 2008.
  9. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar. National Institute of Oceanography, Goa, India, December 2007.
  10. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Technical Seminar. ACM Bangalore Chapter, Bangalore, India, December 2007.
  11. Enabling CyberPhysical Science and Engineering. Invited Presentation. Distributed Programming Abstractions Workshop, UK e-Science Center, Edinburgh, UK, October-November, 2007.
  12. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Telcordia Technologies. Piscataway, NJ, July 2007.
  13. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar, Department of Computer and Science. Indiana University, Purdue University, Indianapolis (IUPUI), Indianapolis, IN, USA, March 2007.
  14. 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.
  15. 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. (PDF)
  16. Autonomic Grid Computing: Concepts, Infrastructure and Applications. Seminar, Department of Computer Science. Sogang University, Seoul, Korea, September 2006. (PDF)
  17. 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. (PDF)
  18. 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. (PDF)
  19. Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Simulations. The 35th International Conference on Parallel Processing (ICPP 2006). Columbus, OH, USA, August 2006. (PDF)
  20. Information-driven Science in Pervasive Grid Environments. Keynote. The IEEE International Conference on Pervasive Services (ICPS 2006), Lyon, France, June 2006. (PDF)
  21. Grid and Utility Computing: Do they really mean Pervasive Services?. Panel, The International Conference on Pervasive Services (ICPS 2006). Lyon, France, June 26, 2006. (PDF)
  22. A Decentralized Content-based Aggregation Service for Pervasive Environments. The International Conference on Pervasive Services (ICPS 2006). Lyon, France, June 26, 2006. (PDF)
  23. Meteor: A Middleware Infrastructure for Content-based Decoupled Interactions in Pervasive Environments. submitted, November 2005. (PDF)
  24. 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, LNCS, May 2006. (PDF)
  25. 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, April 2006. (PDF)
  26. Distributed Adaptive and Interactive Simulations using Structured Adaptive Mesh Refinement. 13th SIAM Conference on Parallel Processing and Scientific Computing (PP06). San Francisco, CA, February 2006. (PDF)
  27. Using Clustering to Address Heterogeneity and Dynamism in Parallel Scientific Applications. HiPC . 2005, Goa, India, December 2005. (PDF)
  28. Enabling Self-Management of Component-based High-Performance Scientific Applications. Technical Presentation. CCA Meeting, Saratoga Springs, NY, October 2005. (PDF)
  29. A Decentralized Agent Framework for Dynamic Composition and Coordination for Autonomic Applications. SAACS 2005. Copenhagen, Denmark, August 2005. (PDF)
  30. Autonomic Computing: Concepts, Architecture, Applications. Xerox Research Lab/ISTC. Webster, NY, USA, August 2005. (PDF) (PDF)
  31. 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. (PDF)
  32. 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, February 2005. (PDF)
  33. 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, January 2005. (PDF)
  34. Decentralized Information Sharing in Grid Environments. Invited Seminar. Siemens Corporate Research, Princeton, NJ, January 2005. (PDF)
  35. Enabling Next Generation Adaptive and Interactive Computational Science. CERCS Colloquium. Georgia Institute of Technology, Atlanta, GA, December 2005.
  36. A High Performance Shared Information Space Model for Parallel Scientific Applications. 11th International Conference on High Performance Computing (HiPC 2004). Bangalore, India, December 2004. (PDF)
  37. 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. (PDF)
  38. 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. (PDF)
  39. Opportunistic Applications in Pervasive Environments. Invited Presentation. 1st IEEE/ACM International Conference on Pervasive Services (ICPS 2004), July 2004. (PDF)
  40. M. Parashar. An Autonomic Reservoir Framework. Minisymposium on Reservoir Simulation in the 21st Century. 2004 SIAM Annual Meeting (AN 2004), Portland OR, July 2004. (PDF)
  41. C. Schmidt and M. Parashar. Content-based Middleware for Sensor-based Pervasive Environments. Panasonic Digital Networking Laboratory. Princeton, NJ, June 16, 2004. (PDF)
  42. H. Liu. A Component Based Programming Framework for Autonomic Applications. 1st IEEE International Conference on Autonomic Computing (ICAC 2004). New York, NY, May 17 2004. (PDF)
  43. N. Jiang. Opportunistic Applications Flows in Sensor-based Pervasive Environments. Technical Presentation. WINLAB Research Review, Rutgers University, Piscataway, NJ, May 2004. (PDF)
  44. Grid Computing: An Evolving Vision. Avaya Labs Research. Basking Ridge, NJ, March 25, 2004. (PDF)
  45. 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, February 2004. (PDF)
  46. Grid Computing: An Evolving Vision. Science on Saturdays. Princeton University Plasma Physics Laboratory Lecture Series, Princeton, NJ, February 14, 2004. (PDF)
  47. 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. (PDF)
  48. 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. (PDF)
  49. 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 20 2003. (PDF)
  50. M. Agarwal. Synthesizing Autonomic Compositions in Grid Environments. 4th International Workshop on Grid Computing (Grid 2003). Phoenix, AZ, USA, November 17, 2003. (PDF)
  51. G. Zhang. Dynamic Context-aware Access Control for Grid Applications. 4th International Workshop on Grid Computing (Grid 2003). Phoenix, AZ, USA, November 17, 2003. (PDF)
  52. M. Parashar. Enabling Autonomic Applications on the ORBIT Testbed. Technical Presentation, WINLAB IAB Meeting. Rutgers University, Piscataway, NJ, November 2003. (PDF)
  53. M. Parashar. AutoMate: Enabling Autonomic Applications. IBM Visit. Rutgers University, NJ, USA, November 2003. (PDF)
  54. M. Parashar. Autonomic Grid Computing. Technical Presentation. CAIP Annual Research Review, Rutgers University, Piscataway NJ, November 2003. (PDF)
  55. M. Parashar. Computational Support for Adaptive Parallel/Distributed Applications. Workshop on Adaptive Parallel Computing, Hohenwart Forum. Germany, November 9-12, 2003. (PDF)
  56. 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. (PDF)
  57. 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. (PDF)
  58. 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. (PDF)
  59. M. Parashar. Project AutoMate: Enabling Dynamic Data-Driven Applications and Systems. DDDAS Panel, 17th ACM/SIGARCH Annual International Conference on Supercomputing. San Francisco, CA, June 2003. (PDF)
  60. C. Schmidt. Flexible Information Discovery in Decentralized Distributed Systems. 12th International Symposium on High Performance Distributed Computing. Seattle, WA, USA, June 2003. (PDF)
  61. 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. (PDF)
  62. 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. (PDF)
  63. M. Parashar. Autonomic Applications for Pervasive Environments. Technical Presentation. WINLAB Research Review, Rutgers University, Piscataway, NJ, May 2003. (PDF) (HTM)
  64. M. Parashar. Project AutoMate: Autonomic Computational Science and Engineering on the Grid. CAIP Update, Center for Advanced Information Processing, Rutgers University. Vol. 14, No. 4, 2003. (PDF)
  65. M. Parashar. Autonomic Grid Computing. Technical Presentation. CAIP Industrial Advisory Board Meeting, Rutgers University, Piscataway, NJ, May 2003. (PDF) (HTM)
  66. 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. (PDF) (HTM)
  67. 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, March 2003. (PDF) (HTM) (PDF) (HTM) (PDF)
  68. M. Parashar. Towards Autonomic Simulations on the Grid. Seminar. Computing Sciences Research, Bell Labs, Lucent Technologies, Murray Hill, NJ, March 2003. (PDF) (HTM)
  69. M. Parashar. Engineering the DISCOVER Computational Collaboratory. The Applied Software System Laboratory, Rutgers. The State University of New Jersey, Piscataway, NJ, January 2001. (HTM)
  70. M. Parashar. The DISCOVER Computational Collaboratory for Computational Epidemiology. CAIP Symposium on Homeland Security. Center for Advanced Information Processing,Rutgers, The State University of New Jersey, Piscataway, NJ, November 2001. (HTM)
  71. 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. (HTM)
  72. 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, September 2001. (HTM)
  73. 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. (HTM)
  74. 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. San Francisco, CA, IEEE Computer Society Press, pp 35-46, August 2001. (HTM)
  75. 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, Manchester, UK, Vol. 2150, pp 67 - 74, August 2001. (HTM)
  76. M. Parashar. DISCOVER: An Interactive Computational Collaboratory for Grid Applications. Community Practice Paper, 1st Global Grid Forum. Amsterdam, Netherlands, 3 pages, March 2001. (HTM)
  77. Adaptive QoS Management for Collaboration in Heterogeneous Environments. (MOV)

Adaptive QoS Management and Active Networks

  1. Active Resource Management for the Differentiated Services Environment. M. Mahajan, A. Ramanathan and M. Parashar. International Journal of Network Management. Vol. 14, No. 3, pp. 149 - 165, May/June 2004. (PDF)
  2. A Peer-to-Peer Approach to Web Service Discovery. C. Schmidt and M. Parashar. World Wide Web, Internet and Web Information Systems. Kluwer Academic Publishers, Vol. 7, No. 2, pp. 211-229, June 2004.
  3. Managing QoS for Multimedia Applications in the Differentiated Services Environment. M. Mahajan and M. Parashar. Journal of Network and Systems Management. Vol. 11, No. 4, pp. 469 - 498, December 2003. (PDF)
  4. Managing QoS for Multimedia Applications in a Differentiated Services Environment. M. Mahajan and M. Parashar. Proceedings of the 4th Annual International Workshop on Active Middleware Services, Edinburgh, Scotland, UK. pp. 83 - 90, July 2002. (PDF)
  5. Controlling Unresponsive Connections in an Active Network Architecture. N. Prabhavalkar and M. Parashar. International Journal of Network Management. Vol. 13, Issue 4, pp. 289-305, 2003. (PDF)
  6. Adaptive QoS Management for Collaboration in Heterogeneous Environments. R. Chowdhary, P. Bhandarkar and M. Parashar. Proceedings of the 16th International Parallel and Distributed Computing Symposium (IEEE, ACM), 11th Heterogeneous Computing Workshop, Fort Lauderdale, FL, USA. April 2002. (PDF)
  7. Content Adaptations and Media Transformations for QoS Management for Distributed Multimedia Applications. A. Dessai, R. Chowdhury, and M. Parashar. Submitted for publication.
  8. A Framework for Enabling Collaboration over Heterogeneous Networks. P. Bhandarkar and M. Parashar. Proceedings of the 4th Workshop on Information and Computer Science, Dhahran, Saudi Arabia. pp. 435-449, March 2002. (PDF)
  9. M-YESSIR: A Low Latency Reservation Protocol for Mobile-IP Networks. H. Khosravi, D. Reininger, M. Ott, and M. Parashar. Proceedings of Advanced Internet Charging and QoS Technology (ICQT'01) Workshop WS3 of 'Informatik 2001', Vienna, Austria. pp. 172-180, September, 2001. (PDF)
  10. Active Resource Management for the Differentiated Services Environment. A. Ramanathan and M. Parashar. Proceedings of the 3rd Annual International Workshop on Active Middleware Services, San Francisco, CA. pp 78-86, August 2001. (PDF)
  11. Multimedia Content Adaptation for QoS Management over Heterogeneous Networks. N. Shaha, A. Dessai, and M. Parashar. Proceedings of the International Conference on Internet Computing (IC 2001), Nevada, USA. pp 642 - 648, June 2001. (PDF)
  12. Active Resource Management for the Differentiated Services Environment. A. Ramanathan and M. Parashar. Proceedings of the International Conference on Internet Computing (IC 2001), Nevada, USA. pp 680 - 683, June 2001. (PDF)
  13. LGC: An Active Congestion Control Mechanism. N. Prabhavalkar, M. Parashar, and P. Agrawal. Active Middleware Services. pp. 177 - 187, August 2000. (PDF)
  14. An Expert System for Performance Management. M. Parashar, S. Hariri and K. Jabbour. Proceedings of the 35th Midwest Symposium on Circuits and Systems, Washington, DC. pp. 1052-1056, August 1992. (PS)

Parallel and Distributed Computing

    Concepts and Design
  1. 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. (PDF)
  2. T. Saif and M. Parashar. Understanding the Behavior and Performance of Non-blocking Communications in MPI. Proceedings of the 9PthP International Euro-Par Conference (Euro-Par 2004). Pisa, Italy, LNCS, Springer-Verlag, Vol. 3149, pp. 173 - 182, August 2004. (PDF)
  3. 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. Fort Lauderdale, FL, USA, CDROM, IEEE Computer Society Press, 9 pages, April 2002. (PDF)
  4. M. Parashar. Software Architectures for Computational Infrastructures: A Case Study. under preparation for presentation at the Working Conference on Software Architectures for Scientific Computing Applications. IFIP Working Group 1.5 and Institute for Information Technology, National Research Council, Canada, October 2000.
  5. 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. Houston, TX, 7 pages, June 1998. (PDF)
  6. 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. Paper No. 37979, Dallas, TX, pp. 55 - 64, June 1997.
  7. 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. Vancouver, Canada, IEEE Computer Society Press, pp 3 – 10, May – June 1995. (PS)
  8. 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. Bangalore, India, Tata McGraw-Hill Publishing, 6 pages, December 1994. (PS)
  9. S. Hariri, J. B. Park, M. Parashar and G. C. Fox. A Communication System for High Performance Distributed Computing. Concurrency, Practice and Experience, Special Issue: High Performance Distributed Computing. John Wiley and Sons, Vol. 6(4), pp. 251 – 270, June 1994.
  10. 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, Basel, Switzerland, 11 pages, 1994. (PS)
  11. 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). Hawaii, IEEE Computer Society Press, pp. 286 – 295, January 1993. (PDF)
  12. 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). Syracuse, NY, IEEE Computer Society Press, pp. 142-151, September 1992. (PDF)
    Parallel and Distributed Applications and Algorithms
  1. C.S. Chang et al. Toward a first-principles integrated simulations of tokamak edge plasmas. Journal of Physics: Conference Series, 125. IOP Publishers, 2008. (PDF)
  2. 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). Atlanta, GA, USA, pp. 73, April 2006. (PDF)
  3. 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). Spokane, WA, IEEE Computer Society Press, pp. 84-91, July 1993. (PDF)
  4. 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). Minneapolis, MN, IEEE Computer Society Press, pp. 170-179, November 1992, (Judged as Best Student Paper).
  5. 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. (1998) 1812-1815. (PDF)
  6. 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. (1998) 2512-2516. (PDF)
  7. 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. (1998) 3915-3918. (PDF)

Performance Evaluation and Optimization

    Performance Prediction
  1. M. Parashar and S. Hariri. Interpretive Performance Prediction for Parallel Application Development. Journal of Parallel and Distributed Computing. Academic Press, Vol. 60, No. 1, pp. 17 – 47, January 2000. (PDF)
  2. M. Parashar and S. Hariri. Interpretive Performance Prediction for High Performance Application Development. Proceedings of the 30th Annual Hawaii International Conference on System Sciences. Maui, Hawaii, IEEE Computer Society Press, 10 pages, January 1997. (PS)
  3. M. Parashar and S. Hariri. Compile-Time Performance Interpretation of HPF/Fortran 90D. IEEE Parallel and Distributed Technology. IEEE Computer Society Press, Vol. 4, No. 1, pp 57 – 73, Spring 1996. (PS)
  4. 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). Washington, DC, IEEE Computer Society Press, pp. 743-752, November 1994. (PS)
  5. 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 `93). Taiwan, IEEE Computer Society Press, 10 pages, December 1993. (PS)
  6. M. Parashar, S. Hariri and K. Jabbour. An Expert System for Performance Management. Proceedings of the 35th Midwest Symposium on Circuits and Systems. Washington, DC, IEEE Press, pp. 1052-1056, August 1992.
    Optimizations
  1. 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.
  2. V. Safronov and M. Parashar. Page Rank Prefetching for Optimizing Access to Web Page Clusters. Information Sciences Journal. Elsevier Science Publishers, Vol. 150, Number 3-4, pp. 165 – 176, April 2003. (PDF)
  3. 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, No. 1, pp. 25-40, June 2002. (PDF)
  4. Using Page Rank Prefetching for Clustered Web Accesses. V. Safronov and M. Parashar. Proceedings of the 4th Workshop on Information and Computer Science. Dhahran, Saudi Arabia, IEEE Computer Society Press, pp 451-465, March 2002. (PDF)