| Year |
Citation |
Score |
| 2020 |
Zamani AR, Zou M, Diaz-Montes J, Petri I, Rana O, Anjum A, Parashar M. Deadline Constrained Video Analysis via In-Transit Computational Environments Ieee Transactions On Services Computing. 13: 59-72. DOI: 10.1109/Tsc.2017.2653116 |
0.418 |
|
| 2020 |
Ali M, Anjum A, Rana O, Zamani AR, Balouek-Thomert D, Parashar M. RES: Real-time Video Stream Analytics using Edge Enhanced Clouds Ieee Transactions On Cloud Computing. 1-1. DOI: 10.1109/Tcc.2020.2991748 |
0.382 |
|
| 2020 |
Parashar M, Simonet A, Rodero I, Ghahramani F, Agnew G, Jantz R, Honavar V. The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research Computing in Science and Engineering. 22: 79-92. DOI: 10.1109/Mcse.2019.2908850 |
0.304 |
|
| 2020 |
Rodero I, Parashar M. Data Cyberinfrastructure for End-to-End Science Computing in Science and Engineering. 22: 60-71. DOI: 10.1109/Mcse.2019.2892769 |
0.381 |
|
| 2020 |
Godoy WF, Podhorszki N, Wang R, Atkins C, Eisenhauer G, Gu J, Davis P, Choi J, Germaschewski K, Huck K, Huebl A, Kim M, Kress J, Kurc T, Liu Q, ... ... Parashar M, et al. ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management Softwarex. 12: 100561. DOI: 10.1016/J.Softx.2020.100561 |
0.444 |
|
| 2020 |
Jin T, Zhang F, Sun Q, Romanus M, Bui H, Parashar M. Towards autonomic data management for staging-based coupled scientific workflows Journal of Parallel and Distributed Computing. 146: 35-51. DOI: 10.1016/J.Jpdc.2020.07.002 |
0.492 |
|
| 2020 |
Zamani AR, Balouek-Thomert D, Villalobos JJ, Rodero I, Parashar M. An edge-aware autonomic runtime for data streaming and in-transit processing Future Generation Computer Systems. 110: 107-118. DOI: 10.1016/J.Future.2020.03.037 |
0.445 |
|
| 2020 |
Zamani AR, AbdelBaky M, Balouek-Thomert D, Villalobos JJ, Rodero I, Parashar M. Submarine: A subscription‐based data streaming framework for integrating large facilities and advanced cyberinfrastructure Concurrency and Computation: Practice and Experience. 32. DOI: 10.1002/Cpe.5256 |
0.358 |
|
| 2019 |
Balouek-Thomert D, Renart EG, Zamani AR, Simonet A, Parashar M. Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows: International Journal of High Performance Computing Applications. 33: 1159-1174. DOI: 10.1177/1094342019877383 |
0.414 |
|
| 2019 |
AbdelBaky M, Parashar M. A General Performance and QoS Model for Distributed Software-Defined Environments Ieee Transactions On Services Computing. 1-1. DOI: 10.1109/Tsc.2019.2928300 |
0.351 |
|
| 2019 |
Parashar M. The Reproducibility Initiative Ieee Computer. 52: 7-8. DOI: 10.1109/Mc.2019.2935265 |
0.32 |
|
| 2018 |
Diaz-Montes J, Diaz-Granados M, Zou M, Tao S, Parashar M. Supporting Data-Intensive Workflows in Software-Defined Federated Multi-Clouds Ieee Transactions On Cloud Computing. 6: 250-263. DOI: 10.1109/Tcc.2015.2481410 |
0.488 |
|
| 2018 |
Li Y, Orgerie A, Rodero I, Amersho BL, Parashar M, Menaud J. End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT Future Generation Computer Systems. 87: 667-678. DOI: 10.1016/J.Future.2017.12.048 |
0.409 |
|
| 2018 |
Zamani AR, Zou M, Diaz-Montes J, Petri I, Rana O, Parashar M. A computational model to support in-network data analysis in federated ecosystems Future Generation Computer Systems. 80: 342-354. DOI: 10.1016/J.Future.2017.05.032 |
0.448 |
|
| 2017 |
AbdelBaky M, Diaz-Montes J, Parashar M. Software-defined environments for science and engineering The International Journal of High Performance Computing Applications. 32: 104-122. DOI: 10.1177/1094342017710706 |
0.421 |
|
| 2017 |
Deelman E, Peterka T, Altintas I, Carothers CD, van Dam KK, Moreland K, Parashar M, Ramakrishnan L, Taufer M, Vetter J. The future of scientific workflows The International Journal of High Performance Computing Applications. 32: 159-175. DOI: 10.1177/1094342017704893 |
0.413 |
|
| 2017 |
Gamell M, Teranishi K, Kolla H, Mayo J, Heroux MA, Chen J, Parashar M. Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping Siam Journal On Scientific Computing. 39: S347-S378. DOI: 10.1137/16M1081610 |
0.427 |
|
| 2017 |
Petri I, Diaz-Montes J, Rana O, Punceva M, Rodero I, Parashar M. Modelling and Implementing Social Community Clouds Ieee Transactions On Services Computing. 10: 410-422. DOI: 10.1109/Tsc.2015.2470258 |
0.38 |
|
| 2017 |
Gamell M, Teranishi K, Mayo J, Kolla H, Heroux MA, Chen J, Parashar M. Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales Ieee Transactions On Parallel and Distributed Systems. 28: 2881-2895. DOI: 10.1109/Tpds.2017.2696538 |
0.335 |
|
| 2017 |
Tolosana-Calasanz R, Diaz-Montes J, Rana OF, Parashar M. Feedback-Control & Queueing Theory-Based Resource Management for Streaming Applications Ieee Transactions On Parallel and Distributed Systems. 28: 1061-1075. DOI: 10.1109/Tpds.2016.2603510 |
0.437 |
|
| 2017 |
Bittencourt LF, Diaz-Montes J, Buyya R, Rana OF, Parashar M. Mobility-Aware Application Scheduling in Fog Computing Ieee Cloud Computing. 4: 26-35. DOI: 10.1109/Mcc.2017.27 |
0.455 |
|
| 2017 |
Zhang F, Jin T, Sun Q, Romanus M, Bui H, Klasky S, Parashar M. In-memory staging and data-centric task placement for coupled scientific simulation workflows Concurrency and Computation: Practice and Experience. 29: e4147. DOI: 10.1002/Cpe.4147 |
0.312 |
|
| 2017 |
Tolosana-Calasanz R, Diaz-Montes J, Rana OF, Parashar M, Xydas E, Marmaras C, Papadopoulos P, Cipcigan LM. Computational resource management for data-driven applications with deadline constraints Concurrency and Computation: Practice and Experience. 29. DOI: 10.1002/Cpe.4018 |
0.408 |
|
| 2016 |
Romanus M, Zhang F, Jin T, Sun Q, Bui H, Parashar M, Choi J, Janhunen S, Hager R, Klasky S, Chang CS, Rodero I. Persistent data staging services for data intensive in-situ scientific workflows Didc 2016 - Proceedings of the Acm International Workshop On Data-Intensive Distributed Computing. 37-44. DOI: 10.1145/2912152.2912157 |
0.344 |
|
| 2016 |
Abdelbaky M, Diaz-Montes J, Parashar M, Unuvar M, Steinder M. Docker Containers across Multiple Clouds and Data Centers Proceedings - 2015 Ieee/Acm 8th International Conference On Utility and Cloud Computing, Ucc 2015. 368-371. DOI: 10.1109/UCC.2015.58 |
0.316 |
|
| 2016 |
Diaz-Montes J, Petri I, Rana O, Parashar M. Special Issue on Autonomic Clouds Ieee Cloud Computing. 3: 26-29. DOI: 10.1109/Mcc.2016.67 |
0.481 |
|
| 2016 |
Rodero I, Parashar M, Landge AG, Kumar S, Pascucci V, Bremer PT. Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability Proceedings - 2016 16th Ieee/Acm International Symposium On Cluster, Cloud, and Grid Computing, Ccgrid 2016. 156-164. DOI: 10.1109/CCGrid.2016.95 |
0.309 |
|
| 2016 |
Fatih Aktas M, Haldeman G, Parashar M. Scheduling and flexible control of bandwidth and in-transit services for end-to-end application workflows Future Generation Computer Systems. 56: 284-294. DOI: 10.1016/J.Future.2015.09.011 |
0.443 |
|
| 2015 |
AbdelBaky M, Diaz-Montes J, Zou M, Parashar M. A framework for realizing software-defined federations for scientific workflows Bigsystem 2015 - Proceedings of the 2nd International Workshop On Software-Defined Ecosystems, Part of Hpdc 2015. 7-14. DOI: 10.1145/2756594.2756597 |
0.346 |
|
| 2015 |
Beach T, Rana O, Rezgui Y, Parashar M. Governance Model for Cloud Computing in Building Information Management Ieee Transactions On Services Computing. 8: 314-327. DOI: 10.1109/Tsc.2013.50 |
0.454 |
|
| 2015 |
Diaz-Montes J, Abdelbaky M, Zou M, Parashar M. CometCloud: Enabling software-defined federations for end-to-end application workflows Ieee Internet Computing. 19: 69-73. DOI: 10.1109/Mic.2015.4 |
0.521 |
|
| 2015 |
Parashar M, Abdelbaky M, Zou M, Zamani AR, Diaz-Montes J. Realizing the Potential of IoT Using Software-Defined Ecosystems Proceedings - 2015 Ieee 8th International Conference On Cloud Computing, Cloud 2015. 1149-1158. DOI: 10.1109/CLOUD.2015.169 |
0.416 |
|
| 2015 |
Araujo G, Gaudiot JL, Parashar M, Chiou D, Amaral JN, Das CR. Guest Editorial: SBAC-PAD 2013 International Journal of Parallel Programming. 43: 961-964. DOI: 10.1007/S10766-015-0377-2 |
0.371 |
|
| 2015 |
Haldeman G, Rodero I, Parashar M, Ramos S, Zhang EZ, Kremer U. Exploring energy-performance-quality tradeoffs for scientific workflows with in-situ data analyses Computer Science - Research and Development. 30: 207-218. DOI: 10.1007/S00450-014-0268-6 |
0.38 |
|
| 2015 |
Docan C, Zhang F, Jin T, Bui H, Sun Q, Cummings J, Podhorszki N, Klasky S, Parashar M. ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing Concurrency Computation. 27: 3724-3745. DOI: 10.1002/Cpe.3407 |
0.766 |
|
| 2015 |
Punceva M, Rodero I, Parashar M, Rana OF, Petri I. Incentivising resource sharing in social clouds Concurrency Computation. 27: 1483-1497. DOI: 10.1002/Cpe.3009 |
0.413 |
|
| 2014 |
Qi X, Wang D, Rodero I, Diaz-Montes J, Gensure RH, Xing F, Zhong H, Goodell L, Parashar M, Foran DJ, Yang L. Content-based histopathology image retrieval using CometCloud. Bmc Bioinformatics. 15: 287. PMID 25155691 DOI: 10.1186/1471-2105-15-287 |
0.338 |
|
| 2014 |
Diaz-Montes J, Abdelbaky M, Parashar M, Zou M. Software-defined Federated cyber-infrastructure for science and engineering Bigsystem 2014 - Proceedings of the 2014 Acm International Workshop On Software-Defined Ecosystems, Co-Located With Hpdc 2014. 9-12. DOI: 10.1145/2609441.2609641 |
0.372 |
|
| 2014 |
Parashar M, Rana O. Autonomic clouds Proceedings - 2014 Ieee/Acm 7th International Conference On Utility and Cloud Computing, Ucc 2014. 539-540. DOI: 10.1109/UCC.2014.82 |
0.362 |
|
| 2014 |
Aktas MF, Haldeman G, Parashar M. Flexible scheduling and control of bandwidth and in-transit services for end-to-end application workflows Proceedings of Ndm 2014: 4th International Workshop On Network-Aware Data Management - Held in Conjunction With Sc 2014: the International Conference For High Performance Computing, Networking, Storage and Analysis. 28-31. DOI: 10.1109/NDM.2014.9 |
0.336 |
|
| 2014 |
Parashar M, Thiruvathukal GK. Extreme data Computing in Science and Engineering. 16: 8-10. DOI: 10.1109/Mcse.2014.83 |
0.372 |
|
| 2014 |
Diaz-Montes J, Xie Y, Rodero I, Zola J, Ganapathysubramanian B, Parashar M. Federated computing for the masses - Aggregating resources to tackle large-scale engineering problems Computing in Science and Engineering. 16: 62-72. DOI: 10.1109/Mcse.2013.134 |
0.391 |
|
| 2014 |
Keahey K, Parashar M. Enabling On-Demand Science via Cloud Computing Ieee Cloud Computing. 1: 21-27. DOI: 10.1109/Mcc.2014.9 |
0.4 |
|
| 2014 |
Montes JD, Zou M, Singh R, Tao S, Parashar M. Data-driven workflows in multi-cloud marketplaces Ieee International Conference On Cloud Computing, Cloud. 168-175. DOI: 10.1109/CLOUD.2014.32 |
0.319 |
|
| 2014 |
Lasluisa S, Zhang F, Jin T, Rodero I, Bui H, Parashar M. In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows Cluster Computing. 18: 29-40. DOI: 10.1007/S10586-014-0396-6 |
0.432 |
|
| 2014 |
Yang LT, Apduhan BO, Dohi T, Parashar M. Guest editorial: Special issue on autonomic and trusted computing Computing. 96: 923-924. DOI: 10.1007/S00607-014-0425-6 |
0.354 |
|
| 2014 |
Thulasiram RK, Parashar M. Special issue on computational finance Concurrency Computation Practice and Experience. 26: 1607-1608. DOI: 10.1002/Cpe.3249 |
0.38 |
|
| 2014 |
Liu Q, Logan J, Tian Y, Abbasi H, Podhorszki N, Choi JY, Klasky S, Tchoua R, Lofstead J, Oldfield R, Parashar M, Samatova N, Schwan K, Shoshani A, Wolf M, et al. Hello ADIOS: The challenges and lessons of developing leadership class I/O frameworks Concurrency Computation Practice and Experience. 26: 1453-1473. DOI: 10.1002/Cpe.3125 |
0.337 |
|
| 2014 |
Zhang F, Docan C, Bui H, Parashar M, Klasky S. XpressSpace: A programming framework for coupling partitioned global address space simulation codes Concurrency Computation Practice and Experience. 26: 644-661. DOI: 10.1002/Cpe.3025 |
0.782 |
|
| 2013 |
Lasluisa S, Rodero I, Parashar M. Software design for passing sarbanes-oxley in cloud computing Software Design and Development: Concepts, Methodologies, Tools, and Applications. 4: 1659-1674. DOI: 10.4018/978-1-4666-4301-7.ch080 |
0.315 |
|
| 2013 |
Beach TH, Rana OF, Rezgui Y, Parashar M. Cloud computing for the architecture, engineering & construction sector: requirements, prototype & experience Journal of Cloud Computing: Advances, Systems and Applications. 2: 8. DOI: 10.1186/2192-113X-2-8 |
0.462 |
|
| 2013 |
Thiruvathukal GK, Parashar M. Cloud computing Computing in Science and Engineering. 15: 8-9. DOI: 10.1109/Mcse.2013.78 |
0.424 |
|
| 2013 |
Parashar M, Abdelbaky M, Rodero I, Devarakonda A. Cloud paradigms and practices for computational and data-enabled science and engineering Computing in Science and Engineering. 15: 10-18. DOI: 10.1109/Mcse.2013.49 |
0.457 |
|
| 2013 |
Tchoua R, Choi J, Klasky S, Liu Q, Logan J, Moreland K, Mu J, Parashar M, Podhorszki N, Pugmire D, Wolf M. ADIOS visualization schema: A first step towards improving interdisciplinary collaboration in high performance computing Proceedings - Ieee 9th International Conference On E-Science, E-Science 2013. 27-34. DOI: 10.1109/eScience.2013.24 |
0.354 |
|
| 2013 |
Rodero I, Parashar M. Introduction to special section on Green High Performance Computing (Green HPC) Sustainable Computing: Informatics and Systems. 3: 47-48. DOI: 10.1016/J.Suscom.2013.03.001 |
0.312 |
|
| 2013 |
Jha S, Cole M, Katz DS, Parashar M, Rana O, Weissman J. Distributed computing practice for large-scale science and engineering applications Concurrency Computation Practice and Experience. 25: 1559-1585. DOI: 10.1002/Cpe.2897 |
0.431 |
|
| 2012 |
Quiroz A, Parashar M, Gnanasambandam N, Sharma N. Design and evaluation of decentralized online clustering Acm Transactions On Autonomous and Adaptive Systems. 7. DOI: 10.1145/2348832.2348837 |
0.329 |
|
| 2012 |
Gamell M, Rodero I, Parashar M, Muralidhar R. Exploring cross-layer power management for PGAS applications on the SCC platform Hpdc '12 - Proceedings of the 21st Acm Symposium On High-Performance Parallel and Distributed Computing. 235-246. DOI: 10.1145/2287076.2287113 |
0.3 |
|
| 2012 |
Abdelbaky M, Parashar M, Kim H, Jordan KE, Sachdeva V, Sexton J, Jamjoom H, Shae ZY, Pencheva G, Tavakoli R, Wheeler MF. Enabling high-performance computing as a service Computer. 45: 72-80. DOI: 10.1109/Mc.2012.293 |
0.426 |
|
| 2012 |
Zhang F, Docan C, Parashar M, Klasky S, Podhorszki N, Abbasi H. Enabling in-situ execution of coupled scientific workflow on multi-core platform Proceedings of the 2012 Ieee 26th International Parallel and Distributed Processing Symposium, Ipdps 2012. 1352-1363. DOI: 10.1109/IPDPS.2012.122 |
0.79 |
|
| 2012 |
Abdelbaky M, Kim H, Rodero I, Parashar M. Accelerating MapReduce analytics using CometCloud Proceedings - 2012 Ieee 5th International Conference On Cloud Computing, Cloud 2012. 447-454. DOI: 10.1109/CLOUD.2012.150 |
0.359 |
|
| 2012 |
Villegas D, Bobroff N, Rodero I, Delgado J, Liu Y, Devarakonda A, Fong L, Masoud Sadjadi S, Parashar M. Cloud federation in a layered service model Journal of Computer and System Sciences. 78: 1330-1344. DOI: 10.1016/J.Jcss.2011.12.017 |
0.309 |
|
| 2012 |
Lee EK, Kulkarni I, Pompili D, Parashar M. Proactive thermal management in green datacenters Journal of Supercomputing. 60: 165-195. DOI: 10.1007/S11227-010-0453-8 |
0.306 |
|
| 2012 |
Rodero I, Viswanathan H, Lee EK, Gamell M, Pompili D, Parashar M. Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure Journal of Grid Computing. 10: 447-473. DOI: 10.1007/s10723-012-9219-2 |
0.317 |
|
| 2012 |
Ranjan R, Buyya R, Parashar M. Special section on autonomic cloud computing: Technologies, services, and applications Concurrency Computation Practice and Experience. 24: 935-937. DOI: 10.1002/Cpe.1865 |
0.435 |
|
| 2011 |
Parashar M, Klie H, Kurc T, Catalyurek U, Saltz J, Wheeler MF. Dynamic Decision and Data-Driven Strategies for the Optimal Management of Subsurface Geo-Systems Journal of Algorithms & Computational Technology. 5: 645-665. DOI: 10.1260/1748-3018.5.4.645 |
0.474 |
|
| 2011 |
Parashar M. Addressing the petascale data challenge using in-situ analytics Pdac'11 - Proceedings of the 2011 International Workshop On Petascal Data Analytics: Challenges and Opportunities, Co-Located With Sc'11. 35-36. DOI: 10.1145/2110205.2110212 |
0.349 |
|
| 2011 |
Moreland K, Oldfield R, Marion P, Jourdain S, Podhorszki N, Vishwanath V, Fabian N, Docan C, Parashar M, Hereld M, Papka ME, Klasky S. Examples of in transit visualization Pdac'11 - Proceedings of the 2011 International Workshop On Petascal Data Analytics: Challenges and Opportunities, Co-Located With Sc'11. 1-6. DOI: 10.1145/2110205.2110207 |
0.668 |
|
| 2011 |
Viswanathan H, Lee EK, Rodero I, Pompili D, Parashar M, Gamell M. Energy-aware application-centric VM allocation for HPC workloads Ieee International Symposium On Parallel and Distributed Processing Workshops and Phd Forum. 890-897. DOI: 10.1109/IPDPS.2011.234 |
0.315 |
|
| 2011 |
Docan C, Parashar M, Cummings J, Klasky S. Moving the code to the data - Dynamic code deployment using activespaces Proceedings - 25th Ieee International Parallel and Distributed Processing Symposium, Ipdps 2011. 758-769. DOI: 10.1109/IPDPS.2011.120 |
0.755 |
|
| 2011 |
Zhang F, Docan C, Parashar M, Klasky S. Enabling multi-physics coupled simulations within the PGAS programming framework Proceedings - 11th Ieee/Acm International Symposium On Cluster, Cloud and Grid Computing, Ccgrid 2011. 84-93. DOI: 10.1109/CCGrid.2011.73 |
0.763 |
|
| 2011 |
Parashar M. Special issue: Sixth international conference on autonomic computing and communications (ICAC 2009) Cluster Computing. 14: 211. DOI: 10.1007/S10586-011-0170-Y |
0.462 |
|
| 2010 |
Kim H, El-Khamra Y, Jha S, Parashar M. Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure Hpdc 2010 - Proceedings of the 19th Acm International Symposium On High Performance Distributed Computing. 402-412. DOI: 10.1145/1851476.1851536 |
0.382 |
|
| 2010 |
Cummings J, Lofstead J, Schwan K, Sim A, Shoshani A, Docan C, Parashar M, Klasky S, Podhorszki N, Barreto R. EFFIS: An end-to-end framework for fusion integrated simulation Proceedings of the 18th Euromicro Conference On Parallel, Distributed and Network-Based Processing, Pdp 2010. 428-434. DOI: 10.1109/PDP.2010.97 |
0.733 |
|
| 2010 |
Quiroz A, Parashar M, Rodero I. Autonomic management of distributed systems using online clustering Proceedings of the 2010 Ieee International Symposium On Parallel and Distributed Processing, Workshops and Phd Forum, Ipdpsw 2010. DOI: 10.1109/IPDPSW.2010.5470725 |
0.338 |
|
| 2010 |
Zheng F, Abbasi H, Docan C, Lofstead J, Liu Q, Klasky S, Parashar M, Podhorszki N, Schwan K, Wolf M. PreDatA - Preparatory data analytics on peta-scale machines Proceedings of the 2010 Ieee International Symposium On Parallel and Distributed Processing, Ipdps 2010. DOI: 10.1109/IPDPS.2010.5470454 |
0.76 |
|
| 2010 |
Docan C, Zhang F, Parashar M, Cummings J, Podhorszki N, Klasky S. Experiments with memory-to-memory coupling for end-to-end fusion simulation workflows Ccgrid 2010 - 10th Ieee/Acm International Conference On Cluster, Cloud, and Grid Computing. 293-301. DOI: 10.1109/CCGRID.2010.101 |
0.754 |
|
| 2010 |
Jiang N, Parashar M. A programming system for sensor-based scientific applications Journal of Computational Science. 1: 206-220. DOI: 10.1016/J.Jocs.2010.07.006 |
0.643 |
|
| 2010 |
Docan C, Parashar M, Klasky S. DataSpaces: An interaction and coordination framework for coupled simulation workflows Hpdc 2010 - Proceedings of the 19th Acm International Symposium On High Performance Distributed Computing. 25-36. DOI: 10.1007/S10586-011-0162-Y |
0.806 |
|
| 2010 |
Zhang G, Parashar M. Cooperative detection and protection against network attacks using decentralized information sharing Cluster Computing. 13: 67-86. DOI: 10.1007/S10586-009-0116-9 |
0.551 |
|
| 2010 |
Jha S, Parashar M, Rana O. Self-adaptive architectures for autonomic computational science Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6090: 177-197. DOI: 10.1007/978-3-642-14412-7_9 |
0.366 |
|
| 2010 |
Docan C, Parashar M, Klasky S. Enabling high-speed asynchronous data extraction and transfer using DART Concurrency Computation Practice and Experience. 22: 1181-1204. DOI: 10.1002/Cpe.V22:9 |
0.79 |
|
| 2009 |
Parashar M, Pierson JM. Pervasive grids challenges and opportunities The Handbook of Research On Scalable Computing Technologies. 1: 14-30. DOI: 10.4018/978-1-60566-661-7.ch002 |
0.359 |
|
| 2009 |
Li X, Liu X, Zhao H, Zhao H, Jiang N, Parashar M. ASGrid: autonomic management of hybrid sensor grid systems and applications International Journal of Sensor Networks. 6: 234. DOI: 10.1504/Ijsnet.2009.029399 |
0.638 |
|
| 2009 |
Majmudar M, Docan C, Parashar M, Marty C. Cost vs. performance of VaR on accelerator platforms Proceedings of the 2nd Workshop On High Performance Computational Finance, Whpcf '09. DOI: 10.1145/1645413.1645422 |
0.735 |
|
| 2009 |
Podhorszki N, Klasky S, Liu Q, Docan C, Parashar M, Abbasi H, Lofstead J, Schwan K, Wolf M, Zheng F, Cummings J. Plasma fusion code coupling using scalable I/O services and scientific workflows Proceedings of the 4th Workshop On Workflows in Support of Large-Scale Science, Works '09, in Conjunction With Sc 2009. DOI: 10.1145/1645164.1645172 |
0.732 |
|
| 2009 |
Jha S, Parashar M, Rana O. Investigating autonomic behaviours in Grid-based computational science applications Proceedings of the 6th International Conference Industry Session On Grids Meets Autonomic Computing, Gmac'09. 29-38. DOI: 10.1145/1555301.1555305 |
0.367 |
|
| 2009 |
Docan C, Parashar M, Marty C. Advanced risk analytics on the cell broadband engine Ipdps 2009 - Proceedings of the 2009 Ieee International Parallel and Distributed Processing Symposium. DOI: 10.1109/IPDPS.2009.5161146 |
0.726 |
|
| 2009 |
Parashar M, Mo J. Real time dynamics monitoring system (RTDMS™): Phasor applications for the control room Proceedings of the 42nd Annual Hawaii International Conference On System Sciences, Hicss. DOI: 10.1109/HICSS.2009.362 |
0.306 |
|
| 2009 |
Kim H, El-Khamra Y, Jha S, Parashar M. An autonomic approach to integrated HPC grid and cloud usage E-Science 2009 - 5th Ieee International Conference On E-Science. 366-373. DOI: 10.1109/e-Science.2009.58 |
0.317 |
|
| 2009 |
Quiroz A, Gnanasambandam N, Parashar M, Sharma N. Robust clustering analysis for the management of self-monitoring distributed systems Cluster Computing. 12: 73-85. DOI: 10.1007/S10586-008-0068-5 |
0.34 |
|
| 2009 |
Jiang N, Parashar M. Enabling end-to-end data-driven sensor-based scientific and engineering applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5545: 449-459. DOI: 10.1007/978-3-642-01973-9_51 |
0.338 |
|
| 2009 |
Zhang L, Docan C, Parashar M. The Seine Data Coupling Framework for Parallel Scientific Applications Advanced Computational Infrastructures For Parallel and Distributed Adaptive Applications. 283-309. DOI: 10.1002/9780470558027.ch14 |
0.761 |
|
| 2008 |
Gallicchio E, Levy RM, Parashar M. Asynchronous replica exchange for molecular simulations. Journal of Computational Chemistry. 29: 788-94. PMID 17876761 DOI: 10.1002/Jcc.20839 |
0.367 |
|
| 2008 |
Docan C, Parashar M, Klasky S. DART: A substrate for high speed asynchronous data IO Proceedings of the 17th International Symposium On High Performance Distributed Computing 2008, Hpdc'08. 219-220. DOI: 10.1145/1383422.1383454 |
0.75 |
|
| 2008 |
Li X, Parashar M. GridMate: A portable simulation environment for large-scale adaptive scientific applications Proceedings Ccgrid 2008 - 8th Ieee International Symposium On Cluster Computing and the Grid. 82-89. DOI: 10.1109/CCGRID.2008.121 |
0.407 |
|
| 2008 |
Schmidt C, Parashar M. Squid: Enabling search in DHT-based systems Journal of Parallel and Distributed Computing. 68: 962-975. DOI: 10.1016/J.Jpdc.2008.02.003 |
0.662 |
|
| 2008 |
Quiroz A, Parashar M. A framework for distributed content-based web services notification in Grid systems Future Generation Computer Systems. 24: 452-459. DOI: 10.1016/J.Future.2007.07.001 |
0.384 |
|
| 2008 |
Jiang N, Quiroz A, Schmidt C, Parashar M. Meteor: A middleware infrastructure for content-based decoupled interactions in pervasive grid environments Concurrency Computation Practice and Experience. 20: 1455-1484. DOI: 10.1002/Cpe.V20:12 |
0.786 |
|
| 2007 |
Li Z, Parashar M. A computational infrastructure for grid-based asynchronous parallel applications Proceedings of the 16th International Symposium On High Performance Distributed Computing 2007, Hpdc'07. 229-230. DOI: 10.1145/1272366.1272404 |
0.341 |
|
| 2007 |
Li X, Parashar M. Hybrid Runtime Management of Space-Time Heterogeneity for Parallel Structured Adaptive Applications Ieee Transactions On Parallel and Distributed Systems. 18: 1202-1214. DOI: 10.1109/Tpds.2007.1038 |
0.434 |
|
| 2007 |
Li Z, Parashar M. Grid-based asynchronous replica exchange Proceedings - Ieee/Acm International Workshop On Grid Computing. 201-208. DOI: 10.1109/GRID.2007.4354134 |
0.32 |
|
| 2007 |
Bhat V, Parashar M, Klasky S. Experiments with in-transit processing for data intensive grid workflows Proceedings - Ieee/Acm International Workshop On Grid Computing. 193-200. DOI: 10.1109/GRID.2007.4354133 |
0.303 |
|
| 2007 |
Chandra S, Li X, Saif T, Parashar M. Enabling scalable parallel implementations of structured adaptive mesh refinement applications Journal of Supercomputing. 39: 177-203. DOI: 10.1007/S11227-007-0110-Z |
0.621 |
|
| 2007 |
Bhat V, Parashar M, Liu H, Kandasamy N, Khandekar M, Klasky S, Abdelwahed S. A self-managing wide-area data streaming service Cluster Computing. 10: 365-383. DOI: 10.1007/S10586-007-0023-X |
0.648 |
|
| 2006 |
Chen W, Schmidt C, Parashar M, Reiss M, Foran DJ. Decentralized data sharing of tissue microarrays for investigative research in oncology. Cancer Informatics. 2: 373-88. PMID 19081778 DOI: 10.4137/Cin.S0 |
0.686 |
|
| 2006 |
Liu H, Parashar M. Accord: A programming framework for autonomic applications Ieee Transactions On Systems, Man and Cybernetics Part C: Applications and Reviews. 36: 341-352. DOI: 10.1142/S0219493706001761 |
0.415 |
|
| 2006 |
Zhang L, Parashar M. Enabling efficient and flexible coupling of parallel scientific applications 20th International Parallel and Distributed Processing Symposium, Ipdps 2006. 2006. DOI: 10.1109/IPDPS.2006.1639354 |
0.374 |
|
| 2006 |
Bhat V, Parashar M, Khandekar M, Kandasamy N, Klasky S. A self-managing wide-area data streaming service usins model-based online control Proceedings - Ieee/Acm International Workshop On Grid Computing. 176-183. DOI: 10.1109/ICGRID.2006.311013 |
0.367 |
|
| 2006 |
Li Z, Parashar M. Enabling dynamic composition and coordination for autonomic Grid applications using the Rudder Agent framework Knowledge Engineering Review. 21: 221-230. DOI: 10.1017/S0269888906000907 |
0.393 |
|
| 2006 |
Li Z, Parashar M. A decentralized computational infrastructure for grid-based parallel asynchronous iterative applications Journal of Grid Computing. 4: 355-372. DOI: 10.1007/S10723-006-9033-9 |
0.479 |
|
| 2006 |
Parashar M, Liu H, Li Z, Matossian V, Schmidt C, Zhang G, Hariri S. AutoMate: Enabling Autonomic Applications on the Grid Cluster Computing. 9: 161-174. DOI: 10.1007/S10586-006-7561-5 |
0.798 |
|
| 2006 |
Zhang G, Parashar M. SESAME: Scalable, environment sensitive access management engine Cluster Computing. 9: 19-27. DOI: 10.1007/S10586-006-4894-Z |
0.605 |
|
| 2006 |
Hariri S, Khargharia B, Chen H, Yang J, Zhang Y, Parashar M, Liu H. The autonomic computing paradigm Cluster Computing. 9: 5-17. DOI: 10.1007/S10586-006-4893-0 |
0.818 |
|
| 2006 |
Chandra S, Parashar M. Addressing spatiotemporal and computational heterogeneity in structured adaptive mesh refinement Computing and Visualization in Science. 9: 145-163. DOI: 10.1007/S00791-006-0028-7 |
0.616 |
|
| 2006 |
Klie H, Bangerth W, Gai X, Wheeler MF, Stoffa PL, Sen M, Parashar M, Catalyurek U, Saltz J, Kurc T. Models, methods and middleware for grid-enabled multiphysics oil reservoir management Engineering With Computers. 22: 349-370. DOI: 10.1007/S00366-006-0035-9 |
0.489 |
|
| 2006 |
Zhang L, Parashar M, Klasky S. Experiments with wide area data coupling using the seine coupling framework Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4297: 229-241. DOI: 10.1007/11945918_26 |
0.307 |
|
| 2006 |
Parashar M, Matossian V, Klie H, Thomas SG, Wheeler MF, Kurc T, Saltz J, Versteeg R. Towards dynamic data-driven management of the ruby gulch waste repository Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3993: 384-392. DOI: 10.1007/11758532_52 |
0.388 |
|
| 2006 |
Zhang L, Parashar M. Seine: A dynamic geometry-based shared-space interaction framework for parallel scientific applications Concurrency Computation Practice and Experience. 18: 1951-1973. DOI: 10.1002/Cpe.1039 |
0.491 |
|
| 2005 |
Li Z, Parashar M. Rudder: An agent-based infrastructure for autonomic composition of grid applications Multiagent and Grid Systems. 1: 183-195. DOI: 10.3233/Mgs-2005-1304 |
0.384 |
|
| 2005 |
Liu H, Parashar M. A framework for rule-based management of parallel scientific applications Proceedings - Second International Conference On Autonomic Computing, Icac 2005. 2005: 360-361. DOI: 10.1109/ICAC.2005.2 |
0.3 |
|
| 2005 |
Liu H, Parashar M. Enabling self-management of component-based high-performance scientific applications Proceedings of the Ieee International Symposium On High Performance Distributed Computing. 59-68. DOI: 10.1109/HPDC.2005.1520936 |
0.393 |
|
| 2005 |
Klasky S, Beck M, Bhat V, Feibush E, Ludäscher B, Parashar M, Shoshani A, Silver D, Vouk M. Data management on the fusion computational pipeline Journal of Physics: Conference Series. 16: 510-520. DOI: 10.1088/1742-6596/16/1/070 |
0.369 |
|
| 2005 |
Chandra S, Parashar M. Towards autonomic application-sensitive partitioning for SAMR applications Journal of Parallel and Distributed Computing. 65: 519-531. DOI: 10.1016/J.Jpdc.2004.09.020 |
0.645 |
|
| 2005 |
Parashar M, Klie H, Catalyurek U, Kurc T, Bangerth W, Matossian V, Saltz J, Wheeler MF. Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies Future Generation Computer Systems. 21: 19-26. DOI: 10.1016/J.Future.2004.09.028 |
0.791 |
|
| 2005 |
Liu H, Jiang L, Parashar M, Silver D. Rule-based visualization in the Discover computational steering collaboratory Future Generation Computer Systems. 21: 53-59. DOI: 10.1016/J.Future.2004.09.020 |
0.359 |
|
| 2005 |
Sterritt R, Parashar M, Tianfield H, Unland R. A concise introduction to autonomic computing Advanced Engineering Informatics. 19: 181-187. DOI: 10.1016/J.Aei.2005.05.012 |
0.415 |
|
| 2005 |
Chandra S, Parashar M, Yang J, Zhang Y, Hariri S. Investigating autonomic runtime management strategies for SAMR applications International Journal of Parallel Programming. 33: 247-259. DOI: 10.1007/S10766-005-3589-Z |
0.799 |
|
| 2005 |
Bangerth W, Klie H, Matossian V, Parashar M, Wheeler MF. An autonomic reservoir framework for the stochastic optimization of well placement Cluster Computing. 8: 255-269. DOI: 10.1007/S10586-005-4093-3 |
0.789 |
|
| 2005 |
Bair R, Banicescu I, Parashar M. Guest editorial on Challenges of Large Applications in Distributed Environments (CLADE) Cluster Computing. 8: 241-242. DOI: 10.1007/S10586-005-4091-5 |
0.374 |
|
| 2005 |
Parashar M, Hariri S. Autonomic computing: An overview Lecture Notes in Computer Science. 3566: 257-269. DOI: 10.1007/11527800_20 |
0.684 |
|
| 2005 |
Parashar M, Li Z, Liu H, Matossian V, Schmidt C. Enabling autonomic grid applications: Requirements, models and infrastructure Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3460: 273-290. DOI: 10.1007/11428589_18 |
0.807 |
|
| 2005 |
Parashar M, Muralidhar R, Lee W, Arnold D, Dongarra J, Wheeler M. Enabling interactive and collaborative oil reservoir simulations on the Grid Concurrency and Computation: Practice and Experience. 17: 1387-1414. DOI: 10.1002/Cpe.899 |
0.442 |
|
| 2005 |
Kurc T, Catalyurek U, Zhang X, Saltz J, Martino R, Wheeler M, Peszyńska M, Sussman A, Hansen C, Sen M, Seifoullaev R, Stoffa P, Torres-Verdin C, Parashar M. A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies Concurrency and Computation: Practice and Experience. 17: 1441-1467. DOI: 10.1002/Cpe.898 |
0.405 |
|
| 2005 |
Liu H, Parashar M. Rule-based monitoring and steering of distributed scientific applications International Journal of High Performance Computing and Networking. 3: 272-282. |
0.305 |
|
| 2005 |
Li Z, Parashar M. Enabling autonomic grid applications: Dynamic composition, coordination and interaction Lecture Notes in Computer Science. 3566: 270-285. |
0.431 |
|
| 2004 |
Schmidt C, Parashar M. Enabling flexible queries with guarantees in P2P systems Ieee Internet Computing. 8: 19-26. DOI: 10.1109/Mic.2004.1297269 |
0.659 |
|
| 2004 |
Schmidt C, Parashar M. A peer-to-peer approach to Web service discovery World Wide Web. 7: 211-229. DOI: 10.1023/B:Wwwj.0000017210.55153.3D |
0.692 |
|
| 2004 |
Li X, Parashar M. Hierarchical partitioning techniques for structured adaptive mesh refinement applications Journal of Supercomputing. 28: 265-278. DOI: 10.1023/B:Supe.0000022099.81839.A3 |
0.362 |
|
| 2004 |
Yang J, Chen H, Kim Bu, Hariri S, Parashar M. Autonomic runtime system for large scale parallel and distributed applications Lecture Notes in Computer Science. 3566: 297-311. DOI: 10.1007/11527800_23 |
0.77 |
|
| 2004 |
Matossian V, Bhat V, Parashar M, Peszy?ska M, Sen M, Stoffa P, Wheeler MF. Autonomic oil reservoir optimization on the Grid Concurrency and Computation: Practice and Experience. 17: 1-26. DOI: 10.1002/Cpe.871 |
0.801 |
|
| 2004 |
Liu H, Parashar M. DIOS++: A framework for rule-based autonomic management of distributed scientific applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2790: 66-73. |
0.334 |
|
| 2004 |
Matossian V, Parashar M. Enabling peer-to-peer interactions for scientific applications on the grid Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2790: 1240-1247. |
0.354 |
|
| 2004 |
Li Z, Parashar M. Rudder: A rule-based multi-agent infrastructure for supporting autonomic Grid applications Proceedings - International Conference On Autonomic Computing. 278-279. |
0.301 |
|
| 2004 |
Zhang L, Parashar M. A dynamic geometry-based shared space interaction framework for parallel scientific applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3296: 189-199. |
0.381 |
|
| 2004 |
Li X, Parashar M. Dynamic load partitioning strategies for managing data of space and time heterogeneity in parallel SAMR applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2790: 181-188. |
0.306 |
|
| 2004 |
Liu H, Parashar M, Hariri S. A component based programming framework for autonomic applications Proceedings - International Conference On Autonomic Computing. 10-17. |
0.666 |
|
| 2003 |
Khargharia B, Hariri S, Parashar M, Ntaimo L, Kim BU. vGrid: A framework for building autonomic applications Proceedings of the International Workshop On Challenges of Large Applications in Distributed Environments, Clade 2003. 19-26. DOI: 10.1109/CLADE.2003.1209995 |
0.836 |
|
| 2003 |
Matossian V, Parashar M. Autonomic optimization of an oil reservoir using decentralized services Proceedings of the International Workshop On Challenges of Large Applications in Distributed Environments, Clade 2003. 2-9. DOI: 10.1109/CLADE.2003.1209993 |
0.332 |
|
| 2003 |
Agarwal M, Bhat V, Liu H, Matossian V, Putty V, Schmidt C, Zhang G, Zhen L, Parashar M, Khargharia B, Hariri S. AutoMate: Enabling autonomic applications on the grid Proceedings of the Autonomic Computing Workshop - 5th Annual International Workshop On Active Middleware Services, Ams 2003. 48-57. DOI: 10.1109/ACW.2003.1210204 |
0.815 |
|
| 2003 |
Muralidhar R, Parashar M. A distributed object infrastructure for interaction and steering Concurrency Computation Practice and Experience. 15: 957-977. DOI: 10.1002/Cpe.741 |
0.419 |
|
| 2003 |
Bhat V, Parashar M. A middleware substrate for integrating services on the grid Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2913: 373-382. |
0.559 |
|
| 2002 |
Steensland J, Chandra S, Parashar M. An application-centric characterization of domain-based SFC partitioners for parallel SAMR Ieee Transactions On Parallel and Distributed Systems. 13: 1275-1289. DOI: 10.1109/Tpds.2002.1158265 |
0.619 |
|
| 2002 |
Parashar M, Hariri S. Pragma: An infrastructure for runtime management of grid applications Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2002. 176-183. DOI: 10.1109/IPDPS.2002.1016579 |
0.604 |
|
| 2002 |
Chowdhury R, Bhandarkar P, Parashar M. Adaptive QoS management for collaboration in heterogeneous environments Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2002. 90-100. DOI: 10.1109/IPDPS.2002.1015667 |
0.321 |
|
| 2002 |
Dwivedula M, Hariri S, Parashar M. A software design model for parallel applications on heterogeneous systems Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2002. 85-93. DOI: 10.1109/IPDPS.2002.1015657 |
0.626 |
|
| 2002 |
Mahajan M, Parashar M. Managing QoS for multimedia applications in a differentiated services environment Proceedings - 4th Annual International Workshop On Active Middleware Services, Ams 2002. 83-90. DOI: 10.1023/B:Jons.0000005474.43773.D8 |
0.414 |
|
| 2002 |
Sinha S, Parashar M. Cluster Computing. 5: 343-352. DOI: 10.1023/A:1019786403374 |
0.318 |
|
| 2002 |
Mann V, Parashar M. Engineering an interoperable computational collaboratory on the grid Concurrency Computation Practice and Experience. 14: 1569-1593. DOI: 10.1002/Cpe.687 |
0.492 |
|
| 2002 |
Parashar M, von Laszewski G, Verma S, Gawor J, Keahey K, Rehn N. A CORBA Commodity Grid Kit Concurrency and Computation: Practice and Experience. 14: 1057-1074. DOI: 10.1002/Cpe.682 |
0.444 |
|
| 2002 |
Parashar M. Special issue: Software architectures for scientific applications Concurrency Computation Practice and Experience. 14: 321-322. DOI: 10.1002/Cpe.650 |
0.404 |
|
| 2001 |
Ramanathan A, Parashar M. Active resource management for the differentiated services environment Proceedings - 3rd Annual International Workshop On Active Middleware Services. 78-86. DOI: 10.1002/Nem.514 |
0.428 |
|
| 2001 |
Mann V, Matossian V, Muralidhar R, Parashar M. DISCOVER: An environment for Web-based interaction and steering of high-performance scientific applications Concurrency Computation Practice and Experience. 13: 737-754. DOI: 10.1002/Cpe.577 |
0.8 |
|
| 2001 |
Batheja J, Parashar M. A framework for opportunistic cluster computing using javaspaces Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2110: 647-656. |
0.338 |
|
| 2001 |
Kaur S, Mann V, Matossian V, Muralidhar R, Parashar M. Engineering a distributed computational collaboratory Proceedings of the Hawaii International Conference On System Sciences. 267. |
0.341 |
|
| 2000 |
Muralidhar R, Parashar M. An object infrastructure for computational steering of distributed simulations Proceedings of the Ieee International Symposium On High Performance Distributed Computing. 2000: 304-305. DOI: 10.1109/HPDC.2000.868669 |
0.334 |
|
| 2000 |
Parashar M, Hariri S. Interpretive Performance Prediction for Parallel Application Development Journal of Parallel and Distributed Computing. 60: 17-47. DOI: 10.1006/Jpdc.1999.1592 |
0.636 |
|
| 2000 |
Muralidhar R, Kaur S, Parashar M. An architecture for web-based interaction and steering of adaptive parallel/distributed applications Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1900: 1332-1339. |
0.322 |
|
| 1998 |
Bhandarkar P, Parashar M. Semantic communication for distributed information coordination Information Technology. 149-152. DOI: 10.1109/It.1998.713402 |
0.378 |
|
| 1998 |
Parashar M. An integrated framework for interactive simulations Information Technology. 61-64. DOI: 10.1109/It.1998.713382 |
0.454 |
|
| 1996 |
Parashar M, Hariri S. Compile-time performance prediction of HPF/Fortran 90D Ieee Parallel & Distributed Technology: Systems & Applications. 4: 57-73. DOI: 10.1109/88.481665 |
0.579 |
|
| 1994 |
Hariri S, Park J, Parashar M, Fox GC. Communication system for high-performance distributed computing Concurrency: Practice and Experience. 6: 251-270. DOI: 10.1002/Cpe.4330060404 |
0.658 |
|
| Show low-probability matches. |
