Research on Cloud Task Scheduling based on Multi-Objective Optimization

	Research on Cloud Task Scheduling based on Multi-Objective Optimization
	Hao, Xiaohong; Han, Yufang; Cao, Juan; Yan, Yan; Wang, Dongjiang
	2017
关键词	Cloud computing Task scheduling Multi-objective optimization Memetic algorithm
卷号	61
页码	466-471
英文摘要	The efficient task scheduling in cloud environment has become the main research topic recently, the execution time, execution cost and load balancing for optimization in a cloud environment is significant. The scheduling of execution time and cost is a NP-hard multi-objective optimization problem, however, the current task scheduling under the cloud environment is generally the execution time or cost of single objective optimization with constraint conditions, incompletely meeting the complex cloud systems with load balancing. Given above motivations, in this paper, we propose a Memetic algorithm (MA, Memetic Algorithm) aiming at cloud task scheduling. Standardizing the objective function, the algorithm introduces the selection scheme based on the roulette, and Hill Climbing algorithm as local search. At last, we demonstrate the feasibility and efficiency of the proposed approach on the CloudSim simulator.
会议录	PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC, CONTROL AND AUTOMATION ENGINEERING (MECAE 2017)
会议录出版者	ATLANTIS PRESS
会议录出版地	29 AVENUE LAVMIERE, PARIS, 75019, FRANCE
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering
WOS记录号	WOS:000416079800089
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36209]
专题	计算机与通信学院电气工程与信息工程学院
通讯作者	Han, Yufang
作者单位	Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Gansu, Peoples R China
推荐引用方式 GB/T 7714	Hao, Xiaohong,Han, Yufang,Cao, Juan,et al. Research on Cloud Task Scheduling based on Multi-Objective Optimization[C]. 见:.