现代电子技术2016，Vol.39Issue(12)：70-72,76,4.DOI:10.16652/j.issn.1004-373x.2016.12.018
基于混合算法的云计算任务调度方法研究
Research on cloud computing task scheduling method based on hybrid algorithm
摘要
Abstract
In order to reduce the difficulty of study,only the level of stand or fall of task scheduling method is usually con⁃sidered in the researched,but the optimized method often causes a higher computational cost in exchange for shorter task com⁃pletion time,which sometimes is not worth the candle. Therefore,both the task completion time and computation cost are all taken as optimization object in this paper to conduct the research of the task scheduling method,balance the task completion time against computation cost,and improve the efficiency of cloud computing. In this paper,a genetic optimization algorithm is used to solve the proposed task scheduling problem,and the simulation annealing algorithm is combined with adaptive mecha⁃nism to establish a hybrid optimization algorithm which is more suitable for cloud computing task scheduling. The task comple⁃tion time optimization algorithm and cost optimization algorithm are compared by means of experimental analysis. The cloud com⁃puting task scheduling method of the hybrid optimization algorithm can effectively balance the task completion time against com⁃puting cost,effectively improve the efficiency of cloud computation,and reduce its computational cost.关键词
混合算法/云计算/任务调度/遗传算法/模拟退火算法Key words
hybrid algorithm/cloud computing/task scheduling/genetic algorithm/simulated annealing algorithm分类
信息技术与安全科学引用本文复制引用
赵保华..基于混合算法的云计算任务调度方法研究[J].现代电子技术,2016,39(12):70-72,76,4.基金项目
四川省教育厅自然科学重点课题高校数据中心建设与研究（13ZA0038）；四川省教育厅自然科学重点课题OpenFlow在校园网的应用方案研究 （）
