Researcher Publications

Manish Parashar, PhD

Selected Publications

Journal Publications (Accepted – To Appear)

  1. “Federated Computing for the Masses – Aggregating Resources to Tackle Large-Scale Engineering Problems,” J. Diaz-Montes*, Y. Xie*, I. Rodero*, J. Zola*, B. Ganapathysubramanian, and M. Parashar, IEEE Computing in Science and Engineering (CiSE) Magazine, IEEE Computer Society Press and AIP.
  2. “In-situ Feature-based Objects Tracking for Data-Intensive Scientific and Enterprise Analytics Workflows,” F. Zhang*, S. Lasluisa*, T. Jin*, I. Rodero*, H. Bui*, M. Parashar, Cluster Computing: The Journal of Networks, Software Tools, and Applications—Special issues on Data-Intensive Scalable Computing Systems,Kluwer Academic Publishers, Under revision.
  3. “Governance Model for Cloud Computing in Building Information Management,” T. Beach, O. Rana, Y. Rezgui, M. Parashar, IEEE Transactions on Services Computing, IEEE Computer Society Press.
  4. “Hello ADIOS: The Challenges and Lessons of Developing Leadership Class I/O Frameworks,” G. F. Lofstead, Q. Liu, J. Logan, Y. Tian, H. Abbasi, N. Podhorszki, J. Y. Choi, S. Klasky, R. Tchoua, R. A. Oldfield, M. Parashar, N. Samatova, K. Schwan, A. Shoshani, M. Wolf, K. Wu, W. Yu, Concurrency and Computation: Practice and Experience, John Wiley and Sons. (Also available as Sandia National Laboratory Technical Report # SAND2012-8436J, October 2012).
  5. “Ant Colony Optimization and its Application to Boolean Satisfiability for Digital VLSI Circuits,” R. Sethuram* and M. Parashar, International Journal of Information Processing, IK International Publisher.
  6. “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, Kluwer Academic Publishers.


Journal Publications (Published)

  1. “Enabling On-Demand Science via Cloud Computing,” K. Keahey and M. Parashar, IEEE Cloud Computing Magazine, IEEE Computer Society Press, Volume 1, Issue 1, May 2014.
  2. “Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering,” M. Parashar, M. Abdelbaky*, I. Rodero*, IEEE Computing in Science and Engineering (CiSE) Magazine, IEEE Computer Society Press and AIP, Volume 15, No. 4, July-August 2013. (DOI Bookmark:
  3. “XpressSpace: A Programming Framework for Coupling PGAS Simulation Codes,” F. Zhang, C. Docan, H. Bui, M. Parashar and S. Klasky, Concurrency and Computation: Practice and Experience, John Wiley and Sons, April 2013, DOI: 10.1002/cpe.3025.
  4. “Cloud Computing for the Architecture, Engineering & Construction Sector: Requirements, Prototype & Experience,” T. H. Beach, O. F. Rana, Y. Y. Rezgui, M. Parashar, Journal of Cloud Computing: Advances, Systems and Applications, Volume 2, Issue 8, Springer, April 2013, DOI: doi:10.1186/2192-113X-2-8.
  5. “Incentivizing Resource Sharing in Social Clouds,” M. Punceva, I. Rodero, M. Parashar, O. F. Rana, and I. Petri, Concurrency and Computation: Practice and Experience, John Wiley and Sons, March 2013, DOI: 10.1002/cpe.3009.
  6. “The Analysis of Image Feature Robustness Using CometCloud,” X. Qi, F. Xing, H. Kim*, M. Parashar, D. Foran, Journal of Pathology Informatics, Publication of the Association of Pathology Informatics, 3:33, USA. September 2012, DOI: 10.4103/2153-3539.101782.
  7. “Enabling High Performance Computing as a Service,” M. AbdelBaky*, M. Parashar, K. E. Jordan, H. Kim*, H. Jamjoom, Z-Y. Shae, G. Pencheva, V. Sachdeva, J. Sexton, and M. Wheeler, IEEE Computer, IEEE Computer Society Press, Vol. 45, Issue 10, pp. 72 – 80, October 2012, DOI:
  8. “Distributed Computing Practice for Large-Scale Science & Engineering Applications,” S. Jha, M. Cole, D. Katz, M. Parashar, O. Rana, J. Weissman, Concurrency and Computation: Practice and Experience, John Wiley and Sons, September 2012, DOI: 10.1002/cpe.2897.
  9. “DataSpaces: An Interaction and Coordination Framework for Coupled Simulation Workflows,” C. Docan*, M. Parashar and S. Klasky, Cluster Computing: The Journal of Networks, Software Tools, and Applications, Kluwer Academic Publishers, DOI: 10.1007/s10586-011-0162-y, 15(2), pp. 163-181, 2012.
  10. “Energy-efficient Thermal-aware Autonomic Management of Virtualized HPC Cloud Infrastructure,” I. Rodero, H. Viswanathan, E.K. Lee, M. Gamell, D. Pompili, M. Parashar, Springer Journal of Grid Computing (GRID), Special Issue on High Performance Grid and Cloud Computing, ISSN: 1570-7873, Volume 10, Issue 3, pp. 447-473, September 2012.
  11. “Design and Evaluation of Decentralized Online Clustering,” A. Quiroz* and M. Parashar, ACM Transactions on Autonomous and Adaptive Systems , ACM Press, Vol. 7, Issue 3, Article No. 34, 31 pages, September 2012.
  12. “Leveraging Cloud Federation in a Layered Service Stack Model,” D. Villegas, I. Rodero*, A. Devarakonda*, Y. Liu, N. Bobroff, L. Fong, S.M. Sadjadi, M. Parashar, Journal of Computer and System Sciences (JCSS), Special Issue on Cloud Computing , Elsevier Press, 78(5), pp. 1330-1344, January 2012, DOI:
  13. “Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-systems,” M. Parashar, H. Klie, T. Kurc, U. Catalyurek, J. Saltz, M. F. Wheeler, Journal of Algorithms & Computational Technology, Multi-Science Publishers, Vol. 5, No. 4, pp. 645 – 665. 2011.
  14. “Autonomic Management of Applications Workflows on Hybrid Computing Infrastructure,” H. Kim*, Y. el- Khamra*, I. Rodero*, S. Jha, and M. Parashar, Scientific Programming Journal, Special Issue on Sciencedriven Cloud Computing , IOS Press. Vol. 19, No. 2-3, pp. 75 – 89, June 2011.

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