现代电子技术Issue(5)：10-13,4.DOI:10.16652/j.issn.1004-373x.2016.05.003
云计算资源调度策略中最小资源矩阵应用的研究
Application of minimum resource matrix in resource scheduling strategy of cloud computing
摘要
Abstract
The traditional ant colony optimization(ACO)algorithm in application of resource scheduling of the cloud com⁃puting has the shortage that some resource nodes can′t meet the hardware collocation condition needed by task⁃running,so huge amounts of waste and low integral resource scheduling efficiency are generated in task scheduling algorithm. To solve these prob⁃lems,an improved ACO algorithm based on the minimum resource matrix is proposed,by which the mass resource nodes which can′t satisfy the task running condition is abandoned to reduce the computation of mass invalid resource nodes and accelerate the algorithm convergence. The simulation experiment results show this improved ant colony optimization algorithm can improve the effectiveness of the cloud computing scheduling,shorten the task execution time and reduce running cost to obtain the global optimal scheduling scheme.关键词
云计算/蚁群算法/任务调度/最小资源矩阵Key words
cloud computing/ant colony algorithm/task scheduling/minimum resource matrix分类
信息技术与安全科学引用本文复制引用
聂清彬,蔡婷,曹耀钦..云计算资源调度策略中最小资源矩阵应用的研究[J].现代电子技术,2016,(5):10-13,4.基金项目
重庆市本科高校“三特行动计划”特殊专业建设项目（渝教高（2013）49号）资助 （）
