A particle swarm optimisation algorithm for cloud-oriented workflow scheduling based on reliability. (5th January 2015)

• Record Type: Journal Article
• Authors: Jian, Chengfeng; Tao, Meng; Wang, Yekun
• Is Part Of: International journal of computer applications technology. Volume 50:Number 3/4(2014)
• Page Start: 220
• Page End: 225
• Publication Date: 2015-01-05
• Subjects: cloud-oriented workflow -- schedule -- reliability -- PSO -- particle swarm optimisation.; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

Abstract

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.