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

Yun Wang Xingquan Zuo

自动化学报(英文版)2021,Vol.8Issue(5):1079-1094,16.
自动化学报(英文版)2021,Vol.8Issue(5):1079-1094,16.DOI:10.1109/JAS.2021.1003982

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

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

Yun Wang 1Xingquan Zuo2

作者信息

  • 1. School of Computing Science, Beijing University of Posts and Telecommunications, Beijing 100876
  • 2. School of Information Engineering, Nanchang Institute of Technology, Nanchang 330099, China
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摘要

关键词

Cloud computing/idle time slot/particle swarm optimization/task scheduling sequence/workflow scheduling

Key words

Cloud computing/idle time slot/particle swarm optimization/task scheduling sequence/workflow scheduling

引用本文复制引用

Yun Wang,Xingquan Zuo..An Effective Cloud Workflow Scheduling Approach Combining PSO and Idle Time Slot-Aware Rules[J].自动化学报(英文版),2021,8(5):1079-1094,16.

基金项目

This work was supported in part by the National Natural Science Foundation of China(61874204,61663028,61703199),in part by the Science and Techno-logy Plan Project of Jiangxi Provincial Education Department(GJJ190959). (61874204,61663028,61703199)

自动化学报(英文版)

OACSCDCSTPCDEI

2329-9266

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