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Monte Carlo simulation on heterogeneous distributed systems: A computing framework with parallel merging and checkpointing strategies., , , , , and . Future Generation Comp. Syst., 29 (3): 728-738 (2013)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)Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows., , , , , , , , , and . CoRR, (2019)Pegasus, a workflow management system for science automation., , , , , , , , , and 1 other author(s). Future Generation Comp. Syst., (2015)Reproducibility of execution environments in computational science using Semantics and Clouds., , , , , and . Future Generation Comp. Syst., (2017)IoT-Hub: New IoT Data-Platform for Virtual Research Environments., , , , and . IWSG, volume 2357 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)On-Line, Non-clairvoyant Optimization of Workflow Activity Granularity on Grids., , and . Euro-Par, volume 8097 of Lecture Notes in Computer Science, page 255-266. Springer, (2013)A Semantic-Based Approach to Attain Reproducibility of Computational Environments in Scientific Workflows: A Case Study., , , , , and . Euro-Par Workshops (1), volume 8805 of Lecture Notes in Computer Science, page 452-463. Springer, (2014)Emerging Frameworks for Advancing Scientific Workflows Research, Development, and Education., , , , , , , , , and 7 other author(s). WORKS, page 74-80. IEEE, (2021)