改进混合蛙跳算法的云计算资源调度

摘要

Reasonable scheduling of resource is the current research focus in cloud computing environment.Aiming at the shortage of shuffled frog leaping algorithm,we propose a novel cloud computing resource scheduling strategy which is based on improved shuffled frog leaping algorithm (ISFLA).First it introduces the particle update concept to local optimisation process to accelerate convergence rate,then it exerts chaos disturbance on best individual in global optimisation to reduce the probability of local optimum occurrence,finally the simulation experiment is carried out on CloudSim platform.Result shows that the proposed algorithm reduces the completion time of cloud computing task with more reasonable load distribution of resources.%资源合理调度是云计算研究热点。针对混合蛙跳算法不足，提出一种改进混合蛙跳算法的云计算资源调度策略（ISF-LA）。首先在局部寻优过程中引入粒子更新思想，加快收敛速度，然后在全局寻优中对最优个体进行混沌扰动，降低局部最优出现的概率，最后在CloudSim平台进行仿真实验。结果表明，ISFLA缩短了云计算任务的完成时间，资源的负载分配更加合理。