标题:Genetic algorithm and ant colony algorithm based Energy-Efficient Task Scheduling
作者:Zhao, Jianfeng ;Qiu, Hongze
通讯作者:Zhao, J
作者机构:[Zhao, Jianfeng ;Qiu, Hongze ] School of Computer Science and Technology, Shandong University, Jinan 250101 Shandong, China
会议名称:2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013
会议日期:23 March 2013 through 25 March 2013
来源:2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013
出版年:2013
页码:946-950
DOI:10.1109/ICIST.2013.6747695
摘要:Task Scheduling is a critical problem in cloud computing platforms. Traditional algorithms mainly focus on shortening the makespan, but seldom mention the energy consumption. This paper proposes a duplication based method to reach multiple targets, including reducing the executing time and energy cost. The main algorithms used are genetic algorithm and ant colony algorithm, with a new dynamic fusion strategy proposed to gain the optimal solution quickly. © 2013 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898953384&doi=10.1109%2fICIST.2013.6747695&partnerID=40&md5=fa3b5e2f8680c9339d0d4cb9ee08b6fb
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