Scheduling strategies for efficient data movement in data-intensive scientific workflow execution: Execution Traces and Experimental Configurations for NUMA-Aware Workflow Scheduling

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dc.contributor.authorVivas, Aurelio
dc.contributor.authorCastro, Harold
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:57:31Z
dc.date.available2026-03-22T20:57:31Z
dc.date.issued2025
dc.identifier.doi10.5281/zenodo.17625294
dc.identifier.urihttps://doi.org/10.5281/zenodo.17625294
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/85084
dc.publisherEuropean Organization for Nuclear Research
dc.relation.ispartofZenodo (CERN European Organization for Nuclear Research)
dc.sourceUniversidad de Los Andes
dc.subjectComputer science
dc.subjectWorkflow
dc.subjectScheduling (production processes)
dc.subjectDistributed computing
dc.subjectReal-time computing
dc.subjectTwo-level scheduling
dc.subjectFair-share scheduling
dc.subjectWorkflow management system
dc.titleScheduling strategies for efficient data movement in data-intensive scientific workflow execution: Execution Traces and Experimental Configurations for NUMA-Aware Workflow Scheduling
dc.typedataset

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