A particle swarm optimisation algorithm for cloud-oriented workflow scheduling based on reliability

被引：0

作者：

Jian, Chengfeng ^{[1
]}

Tao, Meng ^{[1
]}

Wang, Yekun ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY | 2014年 / 50卷 / 3-4期

关键词：

cloud-oriented workflow; schedule; reliability; PSO; particle swarm optimisation;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Currently researches on workflow scheduling in cloud platform pay more attention to the execution time and cost. However, reliability of resource suppliers affects the quality of cloud-oriented workflow scheduling. Reliability of schedule is determined together by the reliability of a cloud resource provider tasks and network data transmission between suppliers. A particle swarm optimisation (PSO) algorithm is presented to schedule tasks to cloud resource suppliers that takes into account reliability as the main factor influencing to schedule workflow. After comparing PSO and genetic algorithm (GA), experiments show that PSO can achieve a higher reliability.

引用

页码：220 / 225

页数：6

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