吉林大学学报（理学版）2017，Vol.55Issue(6)：1518-1522,5.DOI:10.13413/j.cnki.jdxblxb.2017.06.31
基于蚁群粒子群优化算法的 云计算资源调度方案
Cloud Computing Resource Scheduling Scheme Based on Ant Colony Particle Swarm Optimization Algorithm
摘要
Abstract
Through the improvement of ant colony algorithm and particle swarm algorithm,using the combination of advantages of the two algorithms,the author established an ant colony particle swarm optimization algorithm to improve the efficiency of cloud computing resource scheduling and solve the resource scheduling problem in cloud computing.The experimental results show that the algorithm consumes less time and gets better results.关键词
云计算/蚁群算法/粒子群算法/资源调度方案Key words
cloud computing/ant colony algorithm/particle swarm algorithm/resource scheduling scheme分类
信息技术与安全科学引用本文复制引用
萨日娜..基于蚁群粒子群优化算法的 云计算资源调度方案[J].吉林大学学报（理学版）,2017,55(6):1518-1522,5.基金项目
内蒙古自然科学基金(批准号:2013MS0901). （批准号:2013MS0901）
