碎片资源干扰下的云计算资源优化调度仿真

Simulation of Cloud Computing Resource Optimization Scheduling Under the Interference of Debris Resources

针对碎片资源具有不同的特征,采用不同的表达式描述资源调度的动机和影响时,无法使用户所需碎片资源和服务资源规格完全符合调度条件,而碎片资源特征不能确定,导致云计算资源调度效率差的问题。提出采用基于膜计算和蝙蝠算法的碎片资源干扰下云计算资源优化调度方法,对云计算环境下不同的资源调度策略形成的资源碎片进行量化处理,重新定量划分,使其可重组成整块资源,最大化接收后续任务。采用膜计算和蝙蝠算法,依据碎片资源干扰下云计算中资源分配的优化要求,在保证时间要求的基础上合理分配资源,在引入膜计算概念,获取最终的最优解。仿真结果表明,所提方法有效提高了资源调度能力。

An optimal scheduling method for cloud computing resources under the interference of debris resources was proposed based on membrane computing and bat algorithm. The debris resources formed by different resource scheduling policies in cloud computing environment were processed quantitatively. To make quantitative classification, it can be recombined to a whole block of resources, and to maximally receive the follow-up task. Using the membrane computing and bat algorithm, based on the optimization requirements of the resource allocation in cloud computing under the interference of debris resources, the resources were reasonably allocated on the basis of ensuring the time required. Then, the concept of membrane computing was introduced to obtain the final optimal solution. The simulation results show that the proposed method can effectively improve the resource scheduling capability.