摘要
针对移动互联网用户具有移动性的特点,采用移动云的概念来分担计算任务。粒子群算法能够有效地寻找移动互联网的计算资源,从而提高云计算中各个计算资源的分配速度和计算效率。采用粒子群算法,兼顾用户的服务质量,高效调度异构网络中的计算资源,完成具有大计算量的科学计算的云计算资源调度方案。仿真结果表明,所提策略能够提高资源调度的速度,并且能提高云计算的效率。
According to the characteristics of the mobile internet users＇ mobility,the concept of mobile cloud is used to share the computing tasks. Particle swarm algorithm can effectively find the computing resources in mobile internet, so as to improve the allocation rate of each computing resources in cloud computing and computing efficiency. This article used the particle swarm optimization （PSO） algorithm, took the service quality of users into consideration, scheduled the heterogeneous network computing resources efficiently, and completed cloud computing resource scheduling scheme with a large amount of calculation of scientific computing. Simulation results show that the proposed strategy can im- prove the speed of resource scheduling, and improve the efficiency of cloud computing.
出处
《计算机科学》
CSCD
北大核心
2015年第6期279-281,292,共4页
Computer Science
基金
战略性新兴产业管理服务平台建设研究(吉发改投资[2013]1188号)资助
关键词
移动互联网
云计算
粒子群优化算法
资源调度
Mobile internet
Cloud computing
Particle swarm optimization algorithm
Resource scheduling
