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Workflow Scheduling to Minimize Data Movement Using Multi-constraint Graph Partitioning
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jpdc.2000.1714openalex-snapshot
A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems
inferredcites →https://doi.org/10.1007/3-540-44520-x_39openalex-snapshot
Parallel Multilevel Algorithms for Multi-constraint Graph Partitioning
inferredcites →https://doi.org/10.1007/978-3-540-28642-4_2openalex-snapshot
Pegasus: Mapping Scientific Workflows onto the Grid
inferredcites →https://doi.org/10.1016/j.future.2011.05.026openalex-snapshot
Design and implementation of GXP make — A workflow system based on make
inferredcites →https://doi.org/10.1016/s0167-8191(00)00048-xopenalex-snapshot
Graph partitioning models for parallel computing
inferredcites →https://doi.org/10.1109/32.4634openalex-snapshot
A taxonomy of scheduling in general-purpose distributed computing systems
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
inferredcites →https://doi.org/10.1109/escience.2010.43openalex-snapshot
Design and Implementation of GXP Make -- A Workflow System Based on Make
inferredcites →https://doi.org/10.1109/icpp.2007.83openalex-snapshot
Two-Phase Computation and Data Scheduling Algorithms for Workflows in the Grid
inferredcites →https://doi.org/10.1109/ipdps.2002.1015564openalex-snapshot
Graph partitioning for parallel applications in heterogeneous Grid environments
inferredcites →https://doi.org/10.1109/sc.1998.10018openalex-snapshot
Multilevel Algorithms for Multi-Constraint Graph Partitioning
inferredcites →https://doi.org/10.1145/1084805.1084814openalex-snapshot
A taxonomy of scientific workflow systems for grid computing
inferredcites →https://doi.org/10.1145/1141277.1141456openalex-snapshot
Planning spatial workflows to optimize grid performance
inferredcites →https://doi.org/10.1145/1851476.1851483openalex-snapshot
Performance analysis of dynamic workflow scheduling in multicluster grids
inferredcites →https://doi.org/10.1186/1756-0500-4-331openalex-snapshot
Agile parallel bioinformatics workflow management using Pwrake
inferredcites →https://doi.org/10.5555/509058.509086openalex-snapshot
Multilevel Algorithms for Multi-Constraint Graph Partitioning
inferredcites →https://doi.org/10.5860/choice.41-0348openalex-snapshot
Sourcebook of parallel computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1007/s11227-023-05164-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cosrev.2018.08.002openalex-snapshot
Scheduling in distributed systems: A cloud computing perspective
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inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188054openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ic2e.2019.00020openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/icpp.2013.18openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/igsc48788.2019.8957183openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ipdps53621.2022.00043openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mcsoc.2016.25openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/models-c53483.2021.00021openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/mtags.2016.05openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/pdcat.2014.30openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/scc.2016.26openalex-snapshot
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inferred← citeshttps://doi.org/10.1186/s13677-021-00229-7openalex-snapshot
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inferred← citeshttps://doi.org/10.12694/scpe.v18i2.1289openalex-snapshot
DR-SWDF: A Dynamically Reconfigurable Framework for Scientific Workflows Deployment in the Cloud
inferred← citeshttps://doi.org/10.14257/ijgdc.2018.11.5.07openalex-snapshot
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inferred← citeshttps://doi.org/10.14529/jsfi140206openalex-snapshot
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inferred← citeshttps://doi.org/10.2200/s00915ed1v01y201904dtm060openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2004.10077openalex-snapshot
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inferred← citeshttps://doi.org/10.5555/3019078.3019080openalex-snapshot
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