Latest News

Recent Books

Advanced Computational Infrastructures for Parallel and Distributed Applications
Manish Parashar,  Xiaolin Li,  Sumir Chandra
ISBN: 978-0-470-07294-3
Hardcover, 518 pages December 2009
http://www.wiley.com/WileyCDA/ WileyTitle/productCd- 0470072946.html


Autonomic Communication
Vasilakos, A.V.; Parashar, M.; Karnouskos, S.; Pedrycz, W. (Eds.)
ISBN: 978-0-387-09752-7
2010, XVIII, 374 p., Hardcover
http://www.springer.com/ computer/communications/book/ 978-0-387-09752-7

In the news...

  1. The rise of autonomic computing, International Science Grid This Week (iSGTW), April 21, 2010.

Recent Keynotes/Distringuished Talks

  1. Addressing Complexity in Emerging Cyber-Ecosystems - Exploring the Role of Autonomic in Emerging Computational Applications, Distinguished SCI Seminar, The Scientific Computing and Imaging Institue, The University of Utah, Salt Lake City, Utah, April 2010.
  2. Computational Science and Engineering & Clouds, 7th High Performance Grid Computing Workshop, In conjunction with (HPGC 2010), 24th International Parallel and Distributed Computing Symposium (IPDPS 2010), Atlanta, GA, USA, April 2010.
  3. Addressing Complexity in Emerging Cyber-Ecosystems - Exploring the Role of Autonomic in E-Science, 5th EGEE User Forum, Uppsala, Sweden, April 2010.
  4. Addressing Complexity in Emerging Cyber-Ecosystems - Experiments with Autonomic Computational Science, eSI Visitor Seminar, e-Science Institute, Edinburgh, January 2010. (Link)
  5. An Autonomic Cloud Engine for Pervasive Cloud Services, Workshop on Service Oriented Computing, 15 th IEEE/ACM Conference on High Performance Computing (HiPC), Kochi, India, December 2009.
  6. Transformation of Science through Cyberinfrastructure, IEEE/ACM International Conference on Grid Computing (Grid 2009), Summit 2009 and Open Grid Forum (OGF) 27, Banff, Canada, October, 2009. (Link)
  7. Computational Science and Engineering in Emerging Cyber-Ecosystems, 12 th IEEE International Conference on Computational Science and Engineering (CSE-09), Vancouver, Canada, August 2009.
  8. On the Role of Autonomic Computing in Emerging Grid Ecosystems, Grid Meets Autonomic Computing Workshop (GMAC'09), 6th IEEE International Conference on Autonomic Computing (ICAC 2009), Barcelona, Spain, June 2009.

Recent Journal Papers

  1. Cooperative Detection and Protection against Network Attacks Using Decentralized Information Sharing, G. Zhang and M. Parashar, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Kluwer Academic Publishers, Vol. 13, No. 1, pp. 67 – 86, 2010.
  2. ASGrid: Autonomic Management of Hybrid Sensor Grid Systems and Applications, X. Li, X. Liu, H. Zhao, H. Zhao, N. Jiang, M. Parashar, International Journal of Sensor Networks (IJSNet), InderScience Publishers, Vol. 6, Nos. 3/4, pp. 234-250, 2009.
  3. 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, (DOI:10.1007/s10586-008-0068- 5), Vol. 12, No. 1, pp. 73-85, 2009.

Recent Conference Papers

  1. DataSpaces: An Interaction and Coordination Framework for Coupled Simulation Workflows, C. Docan, M. Parashar and S. Klasky, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC 2010), Chicago, Illinois, USA June, 2010.

  2. Exploring Adaptation to Support Dynamic Applications on Hybrid Grids-Clouds Infrastructure, Proceedings of the 1st Workshop on Scientific Cloud Computing (ScienceCloud 2010), co-located with the 19th ACM International Symposium on High Performance Distributed Computing (HPDC 2010), Chicago, Illinois, USA June, 2010.

  3. Energy-Aware Online Provisioning for Virtualized Clouds and Data Centers, I. Rodero, J. Jaramillo, A. Quiroz, M. Parashar and F. Guim, Short Paper, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC 2010), Chicago, Illinois, USA June, 2010.

  4. Autonomic Policy Adaptation using Decentralized On Clustering, A. Quiroz, M. Parashar, N. Gnanasambandam, N. Sharma, Proceedings of the 7th IEEE International Conference on Autonomic Computing (ICAC 2010) – Industry Track, Washington DC, USA, June 2010.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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Brief Biography

Manish Parashar is Professor of Electrical and Computer Engineering at Rutgers University, and is also co-director of the Center for Autonomic Computing, director of the The Applied Software Systems Laboratory (TASSL), and Associate Director of the Rutgers Center for Information Assurance (RUCIA). Recently, he joined the National Science Foundation as a Program Director in the Office of Cyberinfrastructure (OCI) working on the Cyberinfrastructure Framework for 21st Century Science and Engineering (CF21) vision. He is affiliated with CAIP, WINLAB, CBIM and IMCS, and currently holds a visiting postion at the eScience Institute at Edinburgh, UK. He has held a joint research appointment with the Center for Subsurface Modeling,  The University of Texas at Austin , and a visiting position at the Laboratoire d'InfoRmatique en Images et Systemes d'information (LIRIS) , Lyon France. He has also been a visiting fellow at the Department of Computer Science and DOE ASCI/ASAP  Center, California Institute of Technology, at the DOE ASCI/ASAP FLASH Center, University of Chicago, and at the Max-Plank Institute in Potsdam , Germany . His research interests are in the broad area of parallel and distributed computing and include pervasive computational systems, autonomic computing, Grid peer-to-peer computing, scientific computing and software engineering. A key focus of his current research is on solving scientific and engineering problems on very large systems and the integration of physical and computational systems.

 

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TASSL - The Applied Software Systems Laboratory

Dr. Parashar leads the TASSL research lab. TASSL is a part of the Department of Electrical and Computer Engineering (and CAIP center) at Rutgers. They are a pioneer research team in the field of autonomic computing and study topics such as parallel and distributed computing, grid computing, peer-to-peer computing, adaptive computational engines, adaptive QoS management, and scientific computing.

The Center for Autonomic Computing

CAC The Center for Autonomic Computing (CAC), an NSF Research Center funded by the I/UCRC program, combines resources from universities, private companies, and the federal government to conduct fundamental research on making all kinds of computer systems and applications - from humble desktop computers to air traffic control systems - more reliable, more secure, and more efficient. Visit the CAC site for further information.

Contact

628 CoRE
Department of Electrical & Computer Engineering
Rutgers, The State University of New Jersey
94 Brett Road, Piscataway, NJ 08854-8058

Voice: (732) 445-5388
Fax: (732) 445-0593

Email: parashar (at) rutgers (dot) edu