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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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Chinês |
| Опубликовано: |
Editorial Department of Journal on Communications
2018-01-01
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| Серии: | Tongxin xuebao |
| Предметы: | |
| Online-ссылка: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2018006/ |
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