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Enabling Distributed Software-Defined Environments Using Dynamic Infrastructure Service Composition.

, , , , , , and . CCGrid, page 274-283. IEEE Computer Society / ACM, (2017)

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Towards autonomic data management for staging-based coupled scientific workflows., , , , , and . J. Parallel Distributed Comput., (2020)Global Experiences with HPC Operational Data Measurement, Collection and Analysis., , , , , , and . CLUSTER, page 499-508. IEEE, (2020)Enabling Distributed Software-Defined Environments Using Dynamic Infrastructure Service Composition., , , , , , and . CCGrid, page 274-283. IEEE Computer Society / ACM, (2017)In-memory staging and data-centric task placement for coupled scientific simulation workflows., , , , , , and . Concurr. Comput. Pract. Exp., (2017)Collecting, Monitoring, and Analyzing Facility and Systems Data at the National Energy Research Scientific Computing Center., , , , and . ICPP Workshops, page 10:1-10:9. ACM, (2019)In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows., , , , , , , and . ESPM2@SC, page 2-9. IEEE Computer Society, (2016)Challenges and Considerations for Utilizing Burst Buffers in High-Performance Computing., , and . CoRR, (2015)The anatomy of successful ECSS projects: lessons of supporting high-throughput high-performance ensembles on XSEDE., , , , , , , and . XSEDE, page 46:1-46:9. ACM, (2012)Adaptive data placement for staging-based coupled scientific workflows., , , , , , , , , and . SC, page 65:1-65:12. ACM, (2015)Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows., , , , , , , , , and 2 other author(s). DIDC@HPDC, page 37-44. ACM, (2016)