A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing
Effective management of Scientific Workflow Scheduling (SWFS) processes in a cloud environment remains a challenging task when dealing with large and complex Scientific Workflow Applications (SWFAs). Cost optimisation of SWFS benefits cloud service consumers and providers by reducing temporal and mo...
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フォーマット: | 論文 |
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Elsevier
2018
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オンライン・アクセス: | http://eprints.um.edu.my/22541/ https://doi.org/10.1016/j.future.2018.03.055 |
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