CAJ | 학술논문

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。
침대운평태적허의자원적부재균형문제，위료실현허의자원적합리분배화보지용호탁면적은정성，제출일충기우동태개변산법권치적자괄응입자군산법，병이용 Eucalyptus 평태진행실험。실험증명，해방법비탐람산법화기본입자군산법구유경호적조절효과，능구유효지공제부재균형화보지계통적은정성。
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.