基于CBPSO算法的云计算任务调度研究

Research on Cloud Computing Tasks Scheduling Based on CBPSO

云计算平台下,部分计算节点的负载过大会降低仿真平台的性能及稳定性。为保证云计算平台的平稳运行,提出根据云平台负载均衡度建立云平台优化目标函数,利用混沌离散粒子群算法(CBPSO)搜索全局最优调度方案。实验结果表明:所提方法搜索到的调度方案使云计算平台同时获得较小的负载均衡度和较短的任务执行时间,能够改善云计算平台的性能。

On the cloud computing platform,the performance and stability of the cloud platform are reduced due to the overload of some computing nodes.In order to ensure the smooth operation of the cloud computing platform,the cloud computing scheduling is established.Chaotic Binary Particle Swarm Optimization(CBPSO)is used to search global optimal scheduling scheme.Simulation results show that the method has better performance of load balance and task execution time and improves the quality of service of cloud computing platform.