An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules

doi:10.1109/JAS.2021.1003982

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	An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules
	Yun Wang; Xingquan Zuo
刊名	IEEE/CAA Journal of Automatica Sinica
	2021
卷号	8 期号:5 页码:1079-1094
关键词	Cloud computing idle time slot particle swarm optimization task scheduling sequence workflow scheduling
ISSN号	2329-9266
DOI	10.1109/JAS.2021.1003982
英文摘要	Workflow scheduling is a key issue and remains a challenging problem in cloud computing. Faced with the large number of virtual machine (VM) types offered by cloud providers, cloud users need to choose the most appropriate VM type for each task. Multiple task scheduling sequences exist in a workflow application. Different task scheduling sequences have a significant impact on the scheduling performance. It is not easy to determine the most appropriate set of VM types for tasks and the best task scheduling sequence. Besides, the idle time slots on VM instances should be used fully to increase resources’ utilization and save the execution cost of a workflow. This paper considers these three aspects simultaneously and proposes a cloud workflow scheduling approach which combines particle swarm optimization (PSO) and idle time slot-aware rules, to minimize the execution cost of a workflow application under a deadline constraint. A new particle encoding is devised to represent the VM type required by each task and the scheduling sequence of tasks. An idle time slot-aware decoding procedure is proposed to decode a particle into a scheduling solution. To handle tasks’ invalid priorities caused by the randomness of PSO, a repair method is used to repair those priorities to produce valid task scheduling sequences. The proposed approach is compared with state-of-the-art cloud workflow scheduling algorithms. Experiments show that the proposed approach outperforms the comparative algorithms in terms of both of the execution cost and the success rate in meeting the deadline.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/43968]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Yun Wang,Xingquan Zuo. An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(5):1079-1094.
APA	Yun Wang,&Xingquan Zuo.(2021).An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules.IEEE/CAA Journal of Automatica Sinica,8(5),1079-1094.
MLA	Yun Wang,et al."An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules".IEEE/CAA Journal of Automatica Sinica 8.5(2021):1079-1094.