基于混沌策略的蝙蝠优化算法在云计算资源调度中的研究

Research on the Cloud Computing Resource Scheduling Based on Chaos Strategy and Bat Optimization Algorithm

资源调度是当前云计算研究的热点,但是云计算中的虚拟节点的资源调度存在效率低,稳定性低的问题。针对这种情况,本文首先建立云计算环境下的资源调度模型,在模型中引入了优化后的蝙蝠算法,优化中引入混沌算法中的立方映射函数,对蝙蝠的个体进行混沌优化,同时缩小了搜索空间,加快了收敛速度。通过在Cloudsim平台上仿真实验表明,该算法在性能上、资源调度效率和任务调度方面都有很大改进,有效提高了云计算系统的资源调度能力。

Resource scheduling is a hot topic in the current cloud computing research, but the resource scheduling of the virtual nodes in cloud computing is low in efficiency and steadiness. On this situation, in this paper, a resource scheduling model is first established under the environment of cloud computing, and the optimized bat algorithm is introduced into the model. In the optimization, the cubic mapping function in the chaos algorithm is introduced to perform chaos optimization on individual bats, which at the same time reduces the searching space and accelerates the convergence. The simulation experiment on the Cloudsim platform shows that this algorithm has been improved on the aspects of performance, resource scheduling efficiency and task scheduling, effectively enhancing the resource scheduling ability of the cloud computing system.