| Year |
Citation |
Score |
| 2020 |
Versluis L, Matha R, Talluri S, Hegeman T, Prodan R, Deelman E, Iosup A. The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures Ieee Transactions On Parallel and Distributed Systems. 31: 2170-2184. DOI: 10.1109/Tpds.2020.2984821 |
0.434 |
|
| 2020 |
Deelman E, Silva RFd, Vahi K, Rynge M, Mayani R, Tanaka R, Whitcup W, Livny M. The Pegasus Workflow Management System: Translational Computer Science in Practice Journal of Computational Science. 101200. DOI: 10.1016/J.Jocs.2020.101200 |
0.353 |
|
| 2020 |
Silva RFd, Casanova H, Orgerie A, Tanaka R, Deelman E, Suter F. Characterizing, Modeling, and Accurately Simulating Power and Energy Consumption of I/O-intensive Scientific Workflows Journal of Computational Science. 44: 101157. DOI: 10.1016/J.Jocs.2020.101157 |
0.344 |
|
| 2019 |
Wyrzykowski R, Deelman E. Guest editor’s note: Special issue on challenges and solutions for porting applications to emerging high performance computing systems: International Journal of High Performance Computing Applications. 33: 487-488. DOI: 10.1177/1094342019843718 |
0.404 |
|
| 2019 |
Silva RFd, Callaghan S, Do TMA, Papadimitriou G, Deelman E. Measuring the impact of burst buffers on data-intensive scientific workflows Future Generation Computer Systems. 101: 208-220. DOI: 10.1016/J.Future.2019.06.016 |
0.471 |
|
| 2019 |
Silva RFd, Filgueira R, Deelman E, Pairo-Castineira E, Overton IM, Atkinson MP. Using simple PID-inspired controllers for online resilient resource management of distributed scientific workflows Future Generation Computer Systems. 95: 615-628. DOI: 10.1016/J.Future.2019.01.015 |
0.412 |
|
| 2018 |
Tovar B, da Silva RF, Juve G, Deelman E, Allcock W, Thain D, Livny M. A Job Sizing Strategy for High-Throughput Scientific Workflows Ieee Transactions On Parallel and Distributed Systems. 29: 240-253. DOI: 10.1109/Tpds.2017.2762310 |
0.764 |
|
| 2017 |
Abbott BP, Abbott R, Abbott TD, Acernese F, Ackley K, Adams C, Adams T, Addesso P, Adhikari RX, Adya VB, Affeldt C, Afrough M, Agarwal B, Agathos M, Agatsuma K, ... ... Deelman E, et al. Upper Limits on Gravitational Waves from Scorpius X-1 from a Model-Based Cross-Correlation Search in Advanced LIGO Data The Astrophysical Journal. 847: 47. DOI: 10.3847/1538-4357/Aa86F0 |
0.302 |
|
| 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 |
0.484 |
|
| 2017 |
Wyrzykowski R, Deelman E. Guest editor’s note: Special issue on algorithmic and run-time system advances for next-generation high performance computing systems: International Journal of High Performance Computing Applications. 109434201769427. DOI: 10.1177/1094342017694273 |
0.38 |
|
| 2017 |
Deelman E, Carothers CD, Mandal A, Tierney B, Vetter JS, Baldin I, Castillo C, Juve G, Król D, Lynch VE, Mayer B, Meredith JS, Proffen T, Ruth P, Silva RFd. PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows International Journal of High Performance Computing Applications. 31: 4-18. DOI: 10.1177/1094342015594515 |
0.787 |
|
| 2017 |
Silva RFd, Filgueira R, Pietri I, Jiang M, Sakellariou R, Deelman E. A characterization of workflow management systems for extreme-scale applications Future Generation Computer Systems. 75: 228-238. DOI: 10.1016/J.Future.2017.02.026 |
0.543 |
|
| 2016 |
Stodden V, McNutt M, Bailey DH, Deelman E, Gil Y, Hanson B, Heroux MA, Ioannidis JP, Taufer M. Enhancing reproducibility for computational methods. Science (New York, N.Y.). 354: 1240-1241. PMID 27940837 DOI: 10.1126/Science.Aah6168 |
0.428 |
|
| 2016 |
Mandal A, Ruth P, Baldin I, Xin Y, Castillo C, Juve G, Rynge M, Deelman E, Chase J. Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection Proceedings - 2015 Ieee/Acm 8th International Conference On Utility and Cloud Computing, Ucc 2015. 162-173. DOI: 10.1109/UCC.2015.32 |
0.323 |
|
| 2016 |
Deelman E, Vahi K, Rynge M, Juve G, Mayani R, Da Silva RF. Pegasus in the cloud: Science automation through workflow technologies Ieee Internet Computing. 20: 70-76. DOI: 10.1109/Mic.2016.15 |
0.781 |
|
| 2016 |
Bryk P, Malawski M, Juve G, Deelman E. Storage-aware Algorithms for Scheduling of Workflow Ensembles in Clouds Journal of Grid Computing. 14: 359-378. DOI: 10.1007/s10723-015-9355-6 |
0.34 |
|
| 2015 |
Malawski M, Figiela K, Bubak M, Deelman E, Nabrzyski J. Scheduling multilevel deadline-constrained scientific workflows on clouds based on cost optimization Scientific Programming. 2015. DOI: 10.1155/2015/680271 |
0.471 |
|
| 2015 |
Da Silva RF, Juve G, Rynge M, Deelman E, Livny M. Online Task Resource Consumption Prediction for Scientific Workflows Parallel Processing Letters. 25. DOI: 10.1142/S0129626415410030 |
0.75 |
|
| 2015 |
Juve G, Tovar B, Da Silva RF, Król D, Thain D, Deelman E, Allcock W, Livny M. Practical resource monitoring for robust high throughput computing Proceedings - Ieee International Conference On Cluster Computing, Iccc. 2015: 650-657. DOI: 10.1109/CLUSTER.2015.115 |
0.375 |
|
| 2015 |
Howison J, Deelman E, McLennan MJ, Da Silva RF, Herbsleb JD. Understanding the scientific software ecosystem and its impact: Current and future measures Research Evaluation. 24: 454-470. DOI: 10.1093/Reseval/Rvv014 |
0.38 |
|
| 2015 |
Da Silva RF, Rynge M, Juve G, Sfiligoi I, Deelman E, Letts J, Wurthwein F, Livny M. Characterizing a high throughput computing workload: The compact muon solenoid (CMS) experiment at LHC Procedia Computer Science. 51: 39-48. DOI: 10.1016/j.procs.2015.05.190 |
0.347 |
|
| 2015 |
Santana-Perez I, Ferreira da Silva R, Rynge M, Deelman E, Pérez-Hernández MS, Corcho O. Reproducibility of execution environments in computational science using Semantics and Clouds Future Generation Computer Systems. DOI: 10.1016/J.Future.2015.12.017 |
0.508 |
|
| 2015 |
Malawski M, Juve G, Deelman E, Nabrzyski J. Algorithms for cost-and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds Future Generation Computer Systems. 48: 1-18. DOI: 10.1016/J.Future.2015.01.004 |
0.774 |
|
| 2015 |
Deelman E, Vahi K, Juve G, Rynge M, Callaghan S, Maechling PJ, Mayani R, Chen W, Ferreira Da Silva R, Livny M, Wenger K. Pegasus, a workflow management system for science automation Future Generation Computer Systems. 46: 17-35. DOI: 10.1016/J.Future.2014.10.008 |
0.806 |
|
| 2015 |
Chen W, Ferreira Da Silva R, Deelman E, Sakellariou R. Using imbalance metrics to optimize task clustering in scientific workflow executions Future Generation Computer Systems. 46: 69-84. DOI: 10.1016/J.Future.2014.09.014 |
0.39 |
|
| 2014 |
Srinivasan S, Juve G, Da Silva RF, Vahi K, Deelman E. A cleanup algorithm for implementing storage constraints in scientific workflow executions Proceedings of Works 2014: the 9th Workshop On Workflows in Support of Large-Scale Science - Held in Conjunction With Sc 2014: the International Conference For High Performance Computing, Networking, Storage and Analysis. 41-49. DOI: 10.1109/WORKS.2014.8 |
0.374 |
|
| 2014 |
Pietri I, Juve G, Deelman E, Sakellariou R. A performance model to estimate execution time of scientific workflows on the cloud Proceedings of Works 2014: the 9th Workshop On Workflows in Support of Large-Scale Science - Held in Conjunction With Sc 2014: the International Conference For High Performance Computing, Networking, Storage and Analysis. 11-19. DOI: 10.1109/WORKS.2014.12 |
0.381 |
|
| 2014 |
Mandal A, Ruth P, Baldin I, Xin Y, Castillo C, Rynge M, Deelman E. Leveraging and adapting ExoGENI infrastructure for data-driven domain science workflows Proceedings - 2014 3rd Geni Research and Educational Experiment Workshop, Gree 2014. 57-60. DOI: 10.1109/GREE.2014.12 |
0.32 |
|
| 2014 |
Da Silva RF, Chen W, Juve G, Vahi K, Deelman E. Community resources for enabling research in distributed scientific workflows Proceedings - 2014 Ieee 10th International Conference On Escience, Escience 2014. 1: 177-184. DOI: 10.1109/eScience.2014.44 |
0.371 |
|
| 2014 |
Malawski M, Figiela K, Bubak M, Deelman E, Nabrzyski J. Cost optimization of execution of multi-level deadline-constrained scientific workflows on clouds Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8384: 251-260. DOI: 10.1007/978-3-642-55224-3_24 |
0.333 |
|
| 2014 |
McLennan M, Clark S, Deelman E, Rynge M, Vahi K, McKenna F, Kearney D, Song C. HUBzero and Pegasus: Integrating scientific workflows into science gateways Concurrency Computation. 27: 328-343. DOI: 10.1002/Cpe.3257 |
0.52 |
|
| 2014 |
Santana-Perez I, da Silva RF, Rynge M, Deelman E, Pérez-Hernández MS, Corcho O. A semantic-based approach to attain reproducibility of computational environments in scientific workflows: A case study Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8805: 452-463. |
0.415 |
|
| 2013 |
Berriman GB, Deelman E, Juve G, Rynge M, Vöckler JS. The application of cloud computing to scientific workflows: a study of cost and performance. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 371: 20120066. PMID 23230152 DOI: 10.1098/Rsta.2012.0066 |
0.785 |
|
| 2013 |
Chen W, Deelman E, Sakellariou R. Imbalance optimization in scientific workflows Proceedings of the International Conference On Supercomputing. 461. DOI: 10.1145/2464996.2467270 |
0.307 |
|
| 2013 |
Deelman E, Juve G, Malawski M, Nabrzyski J. Hosted science: Managing computational workflows in the cloud Parallel Processing Letters. 23. DOI: 10.1142/S0129626413400045 |
0.785 |
|
| 2013 |
Juve G, Rynge M, Deelman E, Vockler JS, Berriman GB. Comparing futuregrid, Amazon EC2, and open science grid for scientific workflows Computing in Science and Engineering. 15: 20-29. DOI: 10.1109/MCSE.2013.44 |
0.409 |
|
| 2013 |
Azarnoosh S, Rynge M, Juve G, Deelman E, Nieć M, Malawski M, Silva RFD. Introducing PRECIP: An API for managing repeatable experiments in the cloud Proceedings of the International Conference On Cloud Computing Technology and Science, Cloudcom. 2: 19-26. DOI: 10.1109/CloudCom.2013.98 |
0.32 |
|
| 2013 |
Pietri I, Malawski M, Juve G, Deelman E, Nabrzyski J, Sakellariou R. Energy-constrained provisioning for scientific workflow ensembles Proceedings - 2013 Ieee 3rd International Conference On Cloud and Green Computing, Cgc 2013 and 2013 Ieee 3rd International Conference On Social Computing and Its Applications, Sca 2013. 34-41. DOI: 10.1109/CGC.2013.14 |
0.307 |
|
| 2013 |
Vahi K, Rynge M, Juve G, Mayani R, Deelman E. Rethinking data management for big data scientific workflows Proceedings - 2013 Ieee International Conference On Big Data, Big Data 2013. 27-35. DOI: 10.1109/BigData.2013.6691724 |
0.414 |
|
| 2013 |
Juve G, Chervenak A, Deelman E, Bharathi S, Mehta G, Vahi K. Characterizing and profiling scientific workflows Future Generation Computer Systems. 29: 682-692. DOI: 10.1016/J.Future.2012.08.015 |
0.786 |
|
| 2013 |
McLennan M, Clark S, McKenna F, Deelman E, Rynge M, Vahi K, Kearney D, Song C. Bringing scientific workflow to the masses via Pegasus and HUBzero Ceur Workshop Proceedings. 993. |
0.411 |
|
| 2012 |
Rynge M, Callaghan S, Deelman E, Juve G, Mehta G, Vahi K, Maechling PJ. Enabling large-scale scientific workflows on petascale resources using MPI master/worker Acm International Conference Proceeding Series. DOI: 10.1145/2335755.2335846 |
0.474 |
|
| 2012 |
Malawski M, Juve G, Deelman E, Nabrzyski J. Cost- and deadline-constrained provisioning for scientific workflow ensembles in IaaS clouds International Conference For High Performance Computing, Networking, Storage and Analysis, Sc. DOI: 10.1109/SC.2012.38 |
0.364 |
|
| 2012 |
Chen W, Deelman E. Integration of workflow partitioning and resource provisioning Proceedings - 12th Ieee/Acm International Symposium On Cluster, Cloud and Grid Computing, Ccgrid 2012. 764-768. DOI: 10.1109/CCGrid.2012.57 |
0.365 |
|
| 2012 |
Duffy C, Gil Y, Deelman E, Marru S, Pierce M, Demir I, Wiener G. Designing a road map for geoscience workflows Eos. 93: 225-226. DOI: 10.1029/2012Eo240002 |
0.401 |
|
| 2012 |
Mehta G, Deelman E, Knowles JA, Chen T, Wang Y, Vöckler J, Buyske S, Matise T. Enabling data and compute intensive workflows in bioinformatics Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7156: 23-32. DOI: 10.1007/978-3-642-29740-3-4 |
0.308 |
|
| 2012 |
Deelman E, Juve G, Berriman GB. Using clouds for science, is it just kicking the can down the road? Closer 2012 - Proceedings of the 2nd International Conference On Cloud Computing and Services Science. 127-134. |
0.301 |
|
| 2011 |
Wang Y, Mehta G, Mayani R, Lu J, Souaiaia T, Chen Y, Clark A, Yoon HJ, Wan L, Evgrafov OV, Knowles JA, Deelman E, Chen T. RseqFlow: workflows for RNA-Seq data analysis. Bioinformatics (Oxford, England). 27: 2598-600. PMID 21795323 DOI: 10.1093/Bioinformatics/Btr441 |
0.401 |
|
| 2011 |
Berriman GB, Good J, Deelman E, Alexov A. Ten years of software sustainability at the Infrared Processing and Analysis Center. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 369: 3384-97. PMID 21768146 DOI: 10.1098/Rsta.2011.0136 |
0.415 |
|
| 2011 |
Saccone SF, Quan J, Mehta G, Bolze R, Thomas P, Deelman E, Tischfield JA, Rice JP. New tools and methods for direct programmatic access to the dbSNP relational database. Nucleic Acids Research. 39: D901-7. PMID 21037260 DOI: 10.1093/Nar/Gkq1054 |
0.403 |
|
| 2011 |
Callaghan S, Maechling P, Small P, Milner K, Juve G, Jordan TH, Deelman E, Mehta G, Vahi K, Gunter D, Beattie K, Brooks C. Metrics for heterogeneous scientific workflows: A case study of an earthquake science application International Journal of High Performance Computing Applications. 25: 274-285. DOI: 10.1177/1094342011414743 |
0.414 |
|
| 2011 |
Samak T, Gunter D, Goode M, Deelman E, Mehta G, Silva F, Vahi K. Failure prediction and localization in large scientific workflows Works'11 - Proceedings of the 6th Workshop On Workflows in Support of Large-Scale Science, Co-Located With Sc'11. 107-116. DOI: 10.1145/2110497.2110510 |
0.304 |
|
| 2011 |
Juve G, Deelman E. Wrangler: Virtual cluster provisioning for the cloud Proceedings of the Ieee International Symposium On High Performance Distributed Computing. 277-278. DOI: 10.1145/1996130.1996173 |
0.379 |
|
| 2011 |
Vöckler JS, Juve G, Deelman E, Rynge M, Berriman B. Experiences using cloud computing for a scientific workflow application Sciencecloud'11 - Proceedings of the 2nd International Workshop On Scientific Cloud Computing. 15-24. DOI: 10.1145/1996109.1996114 |
0.381 |
|
| 2011 |
Gil Y, Ratnakar V, Kim J, González-Calero P, Groth P, Moody J, Deelman E. Wings: Intelligent workflow-based design of computational experiments Ieee Intelligent Systems. 26: 62-72. DOI: 10.1109/Mis.2010.9 |
0.338 |
|
| 2011 |
Rynge M, Juve G, Mehta G, Deelman E, Larson K, Holzman B, Sfiligoi I, Würthwein F, Berriman GB, Callaghan S. Experiences using GlideinWMS and the corral frontend across cyberinfrastructures Proceedings - 2011 7th Ieee International Conference On Escience, Escience 2011. 311-318. DOI: 10.1109/eScience.2011.50 |
0.383 |
|
| 2011 |
Nagavaram A, Agrawal G, Freitas MA, Telu KH, Mehta G, Mayani RG, Deelman E. A cloud-based dynamic workflow for mass spectrometry data analysis Proceedings - 2011 7th Ieee International Conference On Escience, Escience 2011. 47-54. DOI: 10.1109/eScience.2011.15 |
0.391 |
|
| 2011 |
Juve G, Deelman E. Automating application deployment in infrastructure clouds Proceedings - 2011 3rd Ieee International Conference On Cloud Computing Technology and Science, Cloudcom 2011. 658-665. DOI: 10.1109/CloudCom.2011.102 |
0.397 |
|
| 2011 |
Byun EK, Kee YS, Kim JS, Deelman E, Maeng S. BTS: Resource capacity estimate for time-targeted science workflows Journal of Parallel and Distributed Computing. 71: 848-862. DOI: 10.1016/J.Jpdc.2011.01.008 |
0.485 |
|
| 2011 |
Graves R, Jordan TH, Callaghan S, Deelman E, Field E, Juve G, Kesselman C, Maechling P, Mehta G, Milner K, Okaya D, Small P, Vahi K. CyberShake: A Physics-Based Seismic Hazard Model for Southern California Pure and Applied Geophysics. 168: 367-381. DOI: 10.1007/S00024-010-0161-6 |
0.715 |
|
| 2011 |
Singh G, Deelman E. The interplay of resource provisioning and workflow optimization in scientific applications Concurrency Computation Practice and Experience. 23: 1969-1989. DOI: 10.1002/Cpe.1735 |
0.418 |
|
| 2011 |
Gunter D, Deelman E, Samak T, Brooks CH, Goode M, Juve G, Mehta G, Moraes P, Silva F, Swany M, Vahi K. Online workflow management and performance analysis with Stampede 2011 7th International Conference On Network and Service Management, Cnsm 2011. |
0.376 |
|
| 2010 |
Kumar VS, Kurc T, Ratnakar V, Kim J, Mehta G, Vahi K, Nelson YL, Sadayappan P, Deelman E, Gil Y, Hall M, Saltz J. Parameterized Specification, Configuration and Execution of Data-Intensive Scientific Workflows. Cluster Computing. 13: 315-333. PMID 22623878 DOI: 10.1007/S10586-010-0133-8 |
0.397 |
|
| 2010 |
Saccone SF, Bolze R, Thomas P, Quan J, Mehta G, Deelman E, Tischfield JA, Rice JP. SPOT: a web-based tool for using biological databases to prioritize SNPs after a genome-wide association study. Nucleic Acids Research. 38: W201-9. PMID 20529875 DOI: 10.1093/Nar/Gkq513 |
0.307 |
|
| 2010 |
Deelman E. Grids and clouds: Making workflow applications work in heterogeneous distributed environments International Journal of High Performance Computing Applications. 24: 284-298. DOI: 10.1177/1094342009356432 |
0.38 |
|
| 2010 |
Juve G, Deelman E, Vahi K, Mehta G. Experiences with resource provisioning for scientific workflows using Corral Scientific Programming. 18: 77-92. DOI: 10.1155/2010/208568 |
0.794 |
|
| 2010 |
Juve G, Deelman E. Scientific workflows and clouds Acm Crossroads Student Magazine. 16: 14-18. DOI: 10.1145/1734160.1734166 |
0.754 |
|
| 2010 |
Berriman GB, Deelman E, Groth P, Juve G. The application of cloud computing to the creation of image mosaics and management of their provenance Proceedings of Spie - the International Society For Optical Engineering. 7740. DOI: 10.1117/12.856486 |
0.767 |
|
| 2010 |
Berriman GB, Juve G, Deelman E, Regelson M, Plavchan P. The application of cloud computing to astronomy: A study of cost and performance Proceedings - 6th Ieee International Conference On E-Science Workshops, E-Sciencew 2010. 1-7. DOI: 10.1109/eScienceW.2010.10 |
0.403 |
|
| 2010 |
Sonntag M, Karastoyanova D, Deelman E. Bridging the gap between business and scientific workflows: Humans in the loop of scientific workflows Proceedings - 2010 6th Ieee International Conference On E-Science, Escience 2010. 206-213. DOI: 10.1109/eScience.2010.12 |
0.318 |
|
| 2010 |
Callaghan S, Deelman E, Gunter D, Juve G, Maechling P, Brooks C, Vahi K, Milner K, Graves R, Field E, Okaya D, Jordan T. Scaling up workflow-based applications Journal of Computer and System Sciences. 76: 428-446. DOI: 10.1016/J.Jcss.2009.11.005 |
0.782 |
|
| 2009 |
Kurc T, Hastings S, Kumar V, Langella S, Sharma A, Pan T, Oster S, Ervin D, Permar J, Narayanan S, Gil Y, Deelman E, Hall M, Saltz J. HPC AND GRID COMPUTING FOR INTEGRATIVE BIOMEDICAL RESEARCH. The International Journal of High Performance Computing Applications. 23: 252. PMID 20107625 DOI: 10.1177/1094342009106192 |
0.314 |
|
| 2009 |
Deelman E, Berriman B, Juve G, Kee YS, Livny M, Singh G. Clouds: An opportunity for scientific applications? Advances in Parallel Computing. 18: 192-215. DOI: 10.3233/978-1-60750-073-5-192 |
0.406 |
|
| 2009 |
Singh G, Kesselman C, Deelman E. An end-to-end framework for provisioning-based resource and application management Ieee Systems Journal. 3: 25-48. DOI: 10.1109/Jsyst.2008.2011297 |
0.45 |
|
| 2009 |
Deelman E, Gannon D, Shields M, Taylor I. Workflows and e-Science: An overview of workflow system features and capabilities Future Generation Computer Systems. 25: 528-540. DOI: 10.1016/J.Future.2008.06.012 |
0.391 |
|
| 2009 |
Lee K, Paton NW, Sakellariou R, Deelman E, Fernandes AAA, Mehta G. Adaptive workflow processing and execution in Pegasus Concurrency Computation Practice and Experience. 21: 1965-1981. DOI: 10.1002/Cpe.V21:16 |
0.508 |
|
| 2008 |
Kee YS, Byun E, Deelman E, Vahi K, Kim JS. Pegasus on the virtual grid: A case study of workflow planning over captive resources 2008 3rd Workshop On Workflows in Support of Large-Scale Science, Works 2008. DOI: 10.1109/WORKS.2008.4723961 |
0.416 |
|
| 2008 |
Bharathi S, Chervenak A, Deelman E, Mehta G, Su MH, Vahi K. Characterization of scientific workflows 2008 3rd Workshop On Workflows in Support of Large-Scale Science, Works 2008. DOI: 10.1109/WORKS.2008.4723958 |
0.36 |
|
| 2008 |
Deelman E, Singh G, Livny M, Berriman B, Good J. The cost of doing science on the cloud: The montage example 2008 Sc - International Conference For High Performance Computing, Networking, Storage and Analysis, Sc 2008. DOI: 10.1109/SC.2008.5217932 |
0.352 |
|
| 2008 |
Miles S, Groth P, Deelman E, Vahi K, Mehta G, Moreau L. Provenance: The bridge between experiments and data Computing in Science and Engineering. 10: 38-46. DOI: 10.1109/Mcse.2008.82 |
0.399 |
|
| 2008 |
Kumar VS, Hall M, Kim J, Gil Y, Kurc T, Deelman E, Ratnakar V, Saltz J. Designing and parameterizing a workflow for optimization: A case study in biomedical imaging Ipdps Miami 2008 - Proceedings of the 22nd Ieee International Parallel and Distributed Processing Symposium, Program and Cd-Rom. DOI: 10.1109/IPDPS.2008.4536411 |
0.328 |
|
| 2008 |
Callaghan S, Maechling P, Deelman E, Vahi K, Mehta G, Juve G, Milner K, Graves R, Field E, Okaya D, Gunter D, Beattie K, Jordan T. Reducing time-to-solution using distributed high-throughput mega-workflows - experiences from SCEC CyberShake Proceedings - 4th Ieee International Conference On Escience, Escience 2008. 151-158. DOI: 10.1109/eScience.2008.60 |
0.331 |
|
| 2008 |
Byun EK, Kee YS, Deelman E, Vahi K, Mehta G, Kim JS. Estimating resource needs for time-constrained workflows Proceedings - 4th Ieee International Conference On Escience, Escience 2008. 31-38. DOI: 10.1109/eScience.2008.18 |
0.373 |
|
| 2008 |
Hoffa C, Mehta G, Freeman T, Deelman E, Keahey K, Berriman B, Good J. On the use of cloud computing for scientific workflows Proceedings - 4th Ieee International Conference On Escience, Escience 2008. 640-645. DOI: 10.1109/eScience.2008.167 |
0.403 |
|
| 2008 |
Juve G, Deelman E. Resource provisioning options for large-scale scientific workflows Proceedings - 4th Ieee International Conference On Escience, Escience 2008. 608-613. DOI: 10.1109/eScience.2008.160 |
0.417 |
|
| 2008 |
Deelman E, Chervenak A. Data management challenges of data-intensive scientific workflows Proceedings Ccgrid 2008 - 8th Ieee International Symposium On Cluster Computing and the Grid. 687-692. DOI: 10.1109/CCGRID.2008.24 |
0.42 |
|
| 2008 |
Kim J, Deelman E, Gil Y, Mehta G, Ratnakar V. Provenance trails in the Wings/Pegasus system Concurrency Computation Practice and Experience. 20: 587-597. DOI: 10.1002/Cpe.V20:5 |
0.52 |
|
| 2008 |
Deelman E, Livny M, Mehta G, Pavlo A, Singh G, Su MH, Vahi K, Wenger RK. Pegasus and DAGMan from concept to execution: Mapping scientific workflows onto today's cyberinfrastructure Advances in Parallel Computing. 16: 56-74. |
0.332 |
|
| 2007 |
Singh G, Vahi K, Ramakrishnan A, Mehta G, Deelman E, Zhao H, Sakellariou R, Blackburn K, Brown D, Fairhurst S, Meyers D, Berriman GB, Good J, Katz DS. Optimizing Workflow Data Footprint Scientific Programming. 15: 249-268. DOI: 10.1155/2007/701609 |
0.474 |
|
| 2007 |
Walker D, Deelman E. Dynamic computational workflows: Discovery, optimisation and scheduling Scientific Programming. 15: 191-192. DOI: 10.1155/2007/232430 |
0.43 |
|
| 2007 |
Gil Y, González-Calero PA, Deelman E. On the black art of designing computational workflows Proceedings of the 2nd Workshop On Workflows in Support of Large-Scale Science, Works'07. 53-62. DOI: 10.1145/1273360.1273370 |
0.41 |
|
| 2007 |
Singh G, Kesselman C, Deelman E. A provisioning model and its comparison with best-effort for performance-cost optimization in grids Proceedings of the 16th International Symposium On High Performance Distributed Computing 2007, Hpdc'07. 117-126. DOI: 10.1145/1272366.1272382 |
0.333 |
|
| 2007 |
Gil Y, Deelman E, Ellisman M, Fahringer T, Fox G, Gannon D, Goble C, Livny M, Moreau L, Myers J. Examining the challenges of scientific workflows Computer. 40: 24-32. DOI: 10.1109/Mc.2007.421 |
0.449 |
|
| 2007 |
Chervenak A, Deelman E, Livny M, Su MH, Schuler R, Bharathi S, Mehta G, Vahi K. Data placement for scientific applications in distributed environments Proceedings - Ieee/Acm International Workshop On Grid Computing. 267-274. DOI: 10.1109/GRID.2007.4354142 |
0.346 |
|
| 2007 |
Ramakrishnan A, Singh G, Zhao H, Deelman E, Sakellariou R, Vahi K, Blackburn K, Meyers D, Samidi M. Scheduling data-intensive workflows onto storage-constrained distributed resources Proceedings - Seventh Ieee International Symposium On Cluster Computing and the Grid, Ccgrid 2007. 401-409. DOI: 10.1109/CCGRID.2007.101 |
0.392 |
|
| 2007 |
Deelman E, Mehta G, Singh G, Su MH, Vahi K. Pegasus: Mapping large-scale workflows to distributed resources Workflows For E-Science: Scientific Workflows For Grids. 376-394. DOI: 10.1007/978-1-84628-757-2_23 |
0.428 |
|
| 2007 |
Taylor IJ, Deelman E, Gannon D, Shields MS. Workflows for e-Science: Scientific Workflows for Grids Workflows For E-Science: Scientific Workflows For Grids. 1-523. DOI: 10.1007/978-1-84628-757-2 |
0.363 |
|
| 2007 |
Gil Y, Ratnakar V, Deelman E, Mehta G, Kim J. Wings for Pegasus: Creating large-scale scientific applications using semantic representations of computational workflows Proceedings of the National Conference On Artificial Intelligence. 2: 1767-1774. |
0.428 |
|
| 2006 |
Singh G, Kesselman C, Deelman E. Application-level resource provisioning on the grid E-Science 2006 - Second Ieee International Conference On E-Science and Grid Computing. DOI: 10.1109/E-SCIENCE.2006.261167 |
0.315 |
|
| 2006 |
Deelman E, Callaghan S, Field E, Francoeur H, Graves R, Gupta N, Gupta V, Jordan TH, Kesselman C, Maechling P, Mehringer J, Mehta G, Okaya D, Vahi K, Zhao L. Managing large-scale workflow execution from resource provisioning to provenance tracking: The CyberShake example E-Science 2006 - Second Ieee International Conference On E-Science and Grid Computing. DOI: 10.1109/E-SCIENCE.2006.261098 |
0.407 |
|
| 2006 |
Deelman E, Gil Y. Managing large-scale scientific workflows in distributed environments: Experiences and challenges E-Science 2006 - Second Ieee International Conference On E-Science and Grid Computing. DOI: 10.1109/E-SCIENCE.2006.261077 |
0.325 |
|
| 2006 |
Deelman E, Kosar T, Kesselman C, Livny M. What makes workflows work in an opportunistic environment? Concurrency Computation Practice and Experience. 18: 1187-1199. DOI: 10.1002/Cpe.1001 |
0.429 |
|
| 2006 |
Gil Y, Ratnakar V, Deelman E, Spraragen M, Kim J. Wings for pegasus: A semantic approach to creating very large scientific workflows Ceur Workshop Proceedings. 216. |
0.408 |
|
| 2006 |
Lathers A, Su MH, Kulungowski A, Lin AW, Mehta G, Peltier ST, Deelman E, Ellisman MH. Enabling parallel scientific applications with workflow tools Proceedings - Challenges of Large Applications in Distributed Environments, Clade 2006. 2006: 55-60. |
0.312 |
|
| 2005 |
Deelman E, Singh G, Su M, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Berriman GB, Good J, Laity A, Jacob JC, Katz DS. Pegasus: A Framework for Mapping Complex Scientific Workflows onto Distributed Systems Scientific Programming. 13: 219-237. DOI: 10.1155/2005/128026 |
0.432 |
|
| 2005 |
Singh G, Deelman E, Mehta G, Vahi K, Su MH, Bruce Berriman G, Good J, Jacob JC, Katz DS, Lazzarini A, Blackburn K, Koranda S. The pegasus portal: Web based grid computing Proceedings of the Acm Symposium On Applied Computing. 1: 680-686. DOI: 10.1145/1066677.1066834 |
0.341 |
|
| 2005 |
Blythe J, Jain S, Deelman E, Gil Y, Vahi K, Mandal A, Kennedy K. Task scheduling strategies for workflow-based applications in grids 2005 Ieee International Symposium On Cluster Computing and the Grid, Ccgrid 2005. 2: 759-767. DOI: 10.1109/CCGRID.2005.1558639 |
0.335 |
|
| 2005 |
Singh G, Kesselman C, Deelman E. Optimizing Grid-based workflow execution Journal of Grid Computing. 3: 201-219. DOI: 10.1007/S10723-005-9011-7 |
0.499 |
|
| 2005 |
Deelman E, Singh G, Su MH, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Berriman GB, Good J, Laity A, Jacob JC, Katz DS. Pegasus: A framework for mapping complex scientific workflows onto distributed systems Scientific Programming. 13: 219-237. |
0.324 |
|
| 2004 |
Berriman GB, Deelman E, Good J, Jacob J, Katz DS, Kesselman C, Laity A, Prince TA, Singh G, Su MH. Montage: A grid enabled engine for delivering custom science-grade mosaics on demand Proceedings of Spie - the International Society For Optical Engineering. 5493: 221-232. DOI: 10.1117/12.550551 |
0.47 |
|
| 2004 |
Blythe J, Deelman E, Gil Y. Automatically composed workflows for grid environments Ieee Intelligent Systems. 19: 16-23. DOI: 10.1109/Mis.2004.24 |
0.442 |
|
| 2004 |
Gil Y, Deelman E, Blythe J, Kesselman C, Tangmunarunkit H. Artificial Intelligence and Grids: Workflow Planning and Beyond Ieee Intelligent Systems. 19: 26-33+25. DOI: 10.1109/Mis.2004.1265882 |
0.419 |
|
| 2004 |
Deelman E, Blythe J, Gil Y, Kesselman C, Mehta G, Patil S, Su M, Vahi K, Livny M. Pegasus: Mapping Scientific Workflows onto the Grid Lecture Notes in Computer Science. 11-20. DOI: 10.1007/978-3-540-28642-4_2 |
0.409 |
|
| 2004 |
Blythe J, Deelman E, Gil Y. Planning and metadata on the computational grid Aaai Spring Symposium - Technical Report. 6: 21-28. |
0.387 |
|
| 2003 |
Singh G, Bharathi S, Chervenak A, Deelman E, Kesselman C, Manohar M, Patil S, Pearlman L. A metadata catalog service for data intensive applications Proceedings of the 2003 Acm/Ieee Conference On Supercomputing, Sc 2003. DOI: 10.1145/1048935.1050184 |
0.345 |
|
| 2003 |
Lamehamedi H, Shentu Z, Szymanski B, Deelman E. Simulation of dynamic data replication strategies in Data Grids Proceedings - International Parallel and Distributed Processing Symposium, Ipdps 2003. DOI: 10.1109/IPDPS.2003.1213206 |
0.331 |
|
| 2003 |
Deelman E, Blythe J, Gil Y, Kesselman C, Mehta G, Vahi K, Blackburn K, Lazzarini A, Arbree A, Cavanaugh R, Koranda S. Mapping abstract complex workflows onto grid environments Journal of Grid Computing. 1: 25-39. DOI: 10.1023/A:1024000426962 |
0.45 |
|
| 2003 |
Williams R, Berriman B, Deelman E, Good J, Jacob J, Kesselman C, Lonsdale C, Oliver S, Prince TA. Multi-wavelength image space: Another grid-enabled science Concurrency Computation Practice and Experience. 15: 539-549. DOI: 10.1002/Cpe.715 |
0.343 |
|
| 2002 |
Lamehamedi H, Szymanski B, Shentu Z, Deelman E. Data replication strategies in grid environments Proceedings - 5th International Conference On Algorithms and Architectures For Parallel Processing, Ica3pp 2002. 378-383. DOI: 10.1109/ICAPP.2002.1173605 |
0.313 |
|
| 2002 |
Deelman E, Szymanski BK. Simulating spatially explicit problems on high performance architectures Journal of Parallel and Distributed Computing. 62: 446-467. DOI: 10.1006/Jpdc.2001.1802 |
0.341 |
|
| 2002 |
Adve VS, Bagrodia R, Deelman E, Sakellariou R. Compiler-optimized simulation of large-scale applications on high performance architectures Journal of Parallel and Distributed Computing. 62: 393-426. DOI: 10.1006/Jpdc.2001.1800 |
0.385 |
|
| 2002 |
Deelman E, Kesselman C, Williams R, Blackburn K, Lazzarini A, Koranda S. Applications of virtual data in the LIGO experiment Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2328: 23-34. |
0.338 |
|
| 2001 |
Deelman E, Kesselman C, Williams R, Lazzarini A, Prince TA, Romano J, Allen B. A virtual data grid for LIGO Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2110: 3-12. |
0.334 |
|
| 2000 |
Prakash S, Deelman E, Bagrodia R. Asynchronous parallel simulation of parallel programs Ieee Transactions On Software Engineering. 26: 385-400. DOI: 10.1109/32.846297 |
0.383 |
|
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