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Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows.

, , , , and . Computing in Science and Engineering, 15 (4): 20-29 (2013)

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Characterizing a High Throughput Computing Workload: The Compact Muon Solenoid (CMS) Experiment at LHC., , , , , , , and . ICCS, volume 51 of Procedia Computer Science, page 39-48. Elsevier, (2015)Experiences Using GlideinWMS and the Corral Frontend across Cyberinfrastructures., , , , , , , , , and . eScience, page 311-318. IEEE Computer Society, (2011)The Evolution of the Pegasus Workflow Management Software., , , , , , and . Computing in Science and Engineering, 21 (4): 22-36 (2019)A Tale Of 160 Scientists, Three Applications, A Workshop and A Cloud, , , , , , , and . CoRR, (2012)Bringing Scientific Workflow to the Masses via Pegasus and HUBzero., , , , , , , and . IWSG, volume 993 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Searching the Sequence Read Archive using Jetstream and Wrangler., , , and . PEARC, page 50:1-50:7. ACM, (2018)Science automation in practice: Performance data farming in workflows., , , , , , and . ETFA, page 1-4. IEEE, (2016)Reproducibility of execution environments in computational science using Semantics and Clouds, , , , , and . Future Generation Computer Systems, (2017)PGen: large-scale genomic variations analysis workflow and browser in SoyKB., , , , , , , , , and 4 other author(s). BMC Bioinformatics, 17 (S-13): 337 (2016)Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows., , , , , , , , , and . CoRR, (2019)