Year |
Citation |
Score |
2020 |
Varshney P, Simmhan Y. Characterizing application scheduling on edge, fog, and cloud computing resources Software - Practice and Experience. 50: 558-595. DOI: 10.1002/Spe.2699 |
0.516 |
|
2019 |
Buyya R, Srirama SN, Casale G, Calheiros R, Simmhan Y, Varghese B, Gelenbe E, Javadi B, Vaquero LM, Netto MAS, Toosi AN, Rodriguez MA, Llorente IM, Vimercati SDCD, Samarati P, et al. A Manifesto for Future Generation Cloud Computing Acm Computing Surveys. 51: 1-38. DOI: 10.1145/3241737 |
0.519 |
|
2019 |
Varshney P, Simmhan Y. AutoBoT : Resilient and Cost-Effective Scheduling of a Bag of Tasks on Spot VMs Ieee Transactions On Parallel and Distributed Systems. 30: 1512-1527. DOI: 10.1109/Tpds.2018.2889851 |
0.345 |
|
2019 |
Chaturvedi S, Tyagi S, Simmhan Y. Cost-effective Sharing of Streaming Dataflows for IoT Applications Ieee Transactions On Cloud Computing. DOI: 10.1109/Tcc.2019.2921371 |
0.464 |
|
2018 |
Heidari S, Simmhan Y, Calheiros RN, Buyya R. Scalable Graph Processing Frameworks: A Taxonomy and Open Challenges Acm Computing Surveys. 51: 60. DOI: 10.1145/3199523 |
0.38 |
|
2018 |
Ghosh R, Simmhan Y. Distributed Scheduling of Event Analytics across Edge and Cloud Acm Transactions On Cyber-Physical Systems. 2: 24. DOI: 10.1145/3140256 |
0.392 |
|
2018 |
Shukla A, Simmhan YL. Model-driven scheduling for distributed stream processing systems Journal of Parallel and Distributed Computing. 117: 98-114. DOI: 10.1016/J.Jpdc.2018.02.003 |
0.416 |
|
2018 |
Simmhan Y, Ravindra P, Chaturvedi S, Hegde M, Ballamajalu R. Towards a data‐driven IoT software architecture for smart city utilities Software - Practice and Experience. 48: 1390-1416. DOI: 10.1002/Spe.2580 |
0.333 |
|
2017 |
Varshney P, Simmhan Y. Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions Arxiv: Distributed, Parallel, and Cluster Computing. 115-124. DOI: 10.1109/Icfec.2017.20 |
0.491 |
|
2017 |
Zhou Q, Simmhan Y, Prasanna V. Knowledge-infused and consistent Complex Event Processing over real-time and persistent streams Future Generation Computer Systems. 76: 391-406. DOI: 10.1016/J.Future.2016.10.030 |
0.487 |
|
2017 |
Shukla A, Chaturvedi S, Simmhan Y. RIoTBench: An IoT benchmark for distributed stream processing systems Concurrency and Computation: Practice and Experience. 29. DOI: 10.1002/Cpe.4257 |
0.484 |
|
2017 |
Jha S, Katz DS, Luckow A, Hong NC, Rana OF, Simmhan Y. Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure Concurrency and Computation: Practice and Experience. 29. DOI: 10.1002/Cpe.4032 |
0.494 |
|
2015 |
Aman S, Simmhan Y, Prasanna VK. Holistic measures for evaluating prediction models in smart grids Ieee Transactions On Knowledge and Data Engineering. 27: 475-486. DOI: 10.1109/Tkde.2014.2327022 |
0.376 |
|
2015 |
Aluru S, Simmhan Y. Editorial: Scalable Systems for Big Data Management and Analytics Journal of Parallel and Distributed Computing. 79: 1-2. DOI: 10.1016/J.Jpdc.2015.05.001 |
0.412 |
|
2015 |
Simmhan Y, Ramakrishnan L, Antoniu G, Goble C. Cloud computing for data-driven science and engineering Concurrency Computation. DOI: 10.1002/Cpe.3668 |
0.458 |
|
2013 |
Simmhan Y, Aman S, Kumbhare A, Liu R, Stevens S, Zhou Q, Prasanna V. Cloud-Based Software Platform for Big Data Analytics in Smart Grids Computing in Science and Engineering. 15: 38-47. DOI: 10.1109/Mcse.2013.39 |
0.492 |
|
2013 |
Aman S, Simmhan Y, Prasanna V. Energy management systems: State of the art and emerging trends Ieee Communications Magazine. 51: 114-119. DOI: 10.1109/Mcom.2013.6400447 |
0.366 |
|
2013 |
Aluru S, Simmhan Y. A Special Issue of Journal of Parallel and Distributed Computing: Scalable Systems for Big Data Management and Analytics Journal of Parallel and Distributed Computing. 73: 896. DOI: 10.1016/J.Jpdc.2013.04.004 |
0.48 |
|
2011 |
Simmhan Y, Groth P, Moreau L. Special Section: The third provenance challenge on using the open provenance model for interoperability Future Generation Computer Systems. 27: 737-742. DOI: 10.1016/J.Future.2010.11.020 |
0.445 |
|
2011 |
Simmhan Y, Barga R. Analysis of approaches for supporting the Open Provenance Model: A case study of the Trident workflow workbench Future Generation Computer Systems. 27: 790-796. DOI: 10.1016/J.Future.2010.10.005 |
0.417 |
|
2011 |
Moreau L, Clifford B, Freire J, Futrelle J, Gil Y, Groth P, Kwasnikowska N, Miles S, Missier P, Myers J, Plale B, Simmhan Y, Stephan E, Den Bussche JV. The Open Provenance Model core specification (v1.1) Future Generation Computer Systems. 27: 743-756. DOI: 10.1016/J.Future.2010.07.005 |
0.576 |
|
2009 |
Simmhan YL, Plale B, Gannon D. Karma2: Provenance management for data-driven workflows Quantitative Quality of Service For Grid Computing: Applications For Heterogeneity, Large-Scale Distribution, and Dynamic Environments. 380-403. DOI: 10.4018/Jwsr.2008040101 |
0.688 |
|
2008 |
Simmhan YL, Plale B, Gannon D. Query capabilities of the Karma provenance framework Concurrency Computation Practice and Experience. 20: 441-451. DOI: 10.1002/Cpe.V20:5 |
0.686 |
|
2008 |
Moreau L, Ludäscher B, Altintas I, Barga RS, Bowers S, Callahan S, Chin G, Clifford B, Cohen S, Cohen-Boulakia S, Davidson S, Deelman E, Digiampietri L, Foster I, Freire J, ... ... Simmhan YL, et al. Special issue: The first Provenance Challenge Concurrency Computation Practice and Experience. 20: 409-418. DOI: 10.1002/cpe.1233 |
0.525 |
|
2007 |
Simmhan YL, Pallickara SL, Vijayakumar NN, Plale B. Data management in dynamic environment-driven computational science Ifip International Federation For Information Processing. 239: 317-333. DOI: 10.1007/978-0-387-73659-4_17 |
0.624 |
|
2006 |
Simmhan YL, Plale B, Gannon D. A framework for collecting provenance in data-centric scientific workflows Proceedings - Icws 2006: 2006 Ieee International Conference On Web Services. 427-434. DOI: 10.1109/ICWS.2006.5 |
0.667 |
|
2006 |
Simmhan YL, Plaie B, Gannon D, Marru S. Performance evaluation of the karma provenance framework for scientific workflows Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4145: 222-236. |
0.457 |
|
2005 |
Simmhan YL, Plale B, Gannon D. A survey of data provenance in e-science Sigmod Record. 34: 31-36. DOI: 10.1145/1084805.1084812 |
0.663 |
|
2005 |
Gannon D, Krishnan S, Fang L, Kandaswamy G, Simmhan Y, Slominski A. On building parallel & grid applications: Component technology and distributed services Cluster Computing. 8: 271-277. DOI: 10.1007/S10586-005-4094-2 |
0.494 |
|
2002 |
Krishnan S, Bramley R, Gannon D, Ananthakrishnan R, Govindaraju M, Slominski A, Simmhan Y, Alameda J, Alkire R, Drews T, Webb E. The XCAT Science Portal Scientific Programming. 10: 303-317. DOI: 10.1155/2002/862986 |
0.495 |
|
2002 |
Gannon D, Bramley R, Fox G, Smallen S, Rossi A, Ananthakrishnan R, Bertrand F, Chiu K, Farrellee M, Govindaraju M, Krishnan S, Ramakrishnan L, Simmhan Y, Slominski A, Ma Y, et al. Cluster Computing. 5: 325-336. DOI: 10.1023/A:1015633507128 |
0.512 |
|
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