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Scheduling strategy for science workflow with deadline constraint on multi-cloud

In view of the deadline-constrained scientific workflow scheduling on multi-cloud,an adaptive discrete particle swarm optimization with genetic algorithm (ADPSOGA) was proposed,which aimed to minimize the execution cost of workflow while meeting its deadline constrains.Firstly,the data transfer cost...

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Bibliografische Detailangaben
Hauptverfasser: Bing LIN, Wenzhong GUO, Guolong CHEN
Format: Artigo
Sprache:Chinês
Veröffentlicht: Editorial Department of Journal on Communications 2018-01-01
Schriftenreihe:Tongxin xuebao
Schlagworte:
Online-Zugang:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018006
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