摘要
为实现云计算资源的合理运用和负载均衡,提出了云计算资源的动态调度管理框架,设计了一种考虑各虚拟机资源数、各虚拟机性能,以及当前的负载情况的资源分配算法,实现了一种改进的粒子群算法的云计算资源动态调度模型.实验结果表明,此调度模型能有效改善动态资源的分配,提高云计算系统中资源的利用率.
A dynamic dispatching management framework is proposed to implement the rational use and load balancing of the resource of cloud computing.A resource allocation algorithm is designed,which comprehensively applies PSO and considers the resource numbers and performance of each virtual machine and current loading conditions.An improved cloud computing resources dynamic scheduling model based on PSO is realized.The result of the experiment indicates that the scheduling system can improve the efficiency of dispatching service and the utilization ratio in the cloud computing system.
出处
《沈阳大学学报(自然科学版)》
CAS
2015年第6期507-511,共5页
Journal of Shenyang University:Natural Science
基金
辽宁省自然科学基金资助项目(2013020011)
关键词
分布式
云计算
粒子群
负载平衡
distributed
cloud computing
particle swarm
load balance