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Improving Multisite Workflow Performance Using Model-Based Scheduling.

, , , , and . ICPP, page 131-140. IEEE Computer Society, (2014)

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Turbine: A Distributed-memory Dataflow Engine for High Performance Many-task Applications., , , , , , and . Fundam. Inform., 128 (3): 337-366 (2013)Improving Multisite Workflow Performance Using Model-Based Scheduling., , , , and . ICPP, page 131-140. IEEE Computer Society, (2014)FACE-IT: a science gateway for food security research., , , , , , , , , and 2 other author(s). GCE@SC, page 42-46. IEEE, (2014)Evaluating storage systems for scientific data in the cloud., , , , , , and . ScienceCloud@HPDC, page 33-40. ACM, (2014)Reusability in Science: From Initial User Engagement to Dissemination of Results., , , , , , and . CoRR, (2013)Interlanguage parallel scripting for distributed-memory scientific computing., , , , , and . WORKS@SC, page 6:1-6:11. ACM, (2015)Enabling multi-task computation on Galaxy-based gateways using swift., , , , , , and . CLUSTER, page 1-3. IEEE Computer Society, (2013)Towards Production-level Cardiac Image Analysis with Grids., , , , , , and . HealthGrid, volume 147 of Studies in Health Technology and Informatics, page 31-40. IOS Press, (2009)Toward a reliable, secure and fault tolerant smart grid state estimation in the cloud., , , , and . ISGT, page 1-6. IEEE, (2013)Workflow performance improvement using model-based scheduling over multiple clusters and clouds., , , , , and . Future Generation Comp. Syst., (2016)