标题:Genetic Algorithm and Ant Colony Algorithm Based Energy-Efficient Task Scheduling
作者:Zhao, Jianfeng; Qiu, Hongze
通讯作者:Zhao, JF
作者机构:[Zhao, Jianfeng; Qiu, Hongze] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Shandong, Peoples R China.
会议名称:International Conference on Information Science and Technology (ICIST)
会议日期:MAR 23-25, 2013
来源:2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST)
出版年:2013
页码:946-950
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.
收录类别:CPCI-S
WOS核心被引频次:1
资源类型:会议论文
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