云计算下的一种自适应负载均衡算法的研究

Research on An Adaptive Load Balancing Algorithm Based on Cloud Computing

针对云计算下的负载均衡存在效率低的问题,本文首先在鲸鱼算法的基础上,通过种群初始化,淘汰和竞争机制提高算法的局部搜索能力,然后通过人工蜂群算法进行融合提高算法全局搜索能力,融合后算法用于云计算负载均衡中,在调度时间跨度,负载均衡度和任务平均等待时间方面都具有较好效果。

Aiming at the problem of low efficiency of load balancing under cloud computing,this paper firstly improves the local search ability of the algorithm through population initialization,elimination and competition mechanism based on the whale algorithm.Then,the artificial bee colony algorithm is used to improve the global search ability of the algorithm.The fusion algorithm is used in cloud computing load balancing,and has good effects in scheduling time span,load balancing and task average waiting time.