标题：Genetic algorithm and ant colony algorithm based Energy-Efficient Task Scheduling
作者：Zhao, Jianfeng ;Qiu, Hongze
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
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.