摘要
针对云平台的虚拟资源的负载均衡问题,为了实现虚拟资源的合理分配和保持用户桌面的稳定性,提出一种基于动态改变算法权值的自适应粒子群算法,并利用Eucalyptus平台进行实验。实验证明,该方法比贪婪算法和基本粒子群算法具有更好的调节效果,能够有效地控制负载均衡和保持系统的稳定性。
For load balancing of virtual resources for Cloud platforms, in order to realize reasonable distribution of virtual resources and maintain the stability of the user′s desktop, this paper presents an algorithm based on dynamically changing weighting adaptive particle swarm optimization algorithm and experiments using Eucalyptus platform. Experiments show that this method has a better effect than the greedy algorithm and particle swarm optimization, and can effectively control the load balance and maintain the stability of the system.
出处
《微型机与应用》
2015年第20期54-56,60,共4页
Microcomputer & Its Applications
关键词
虚拟桌面
负载均衡
服务器
virtual desktop
load balancing
server
