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云计算数据中心的负载调度是影响云计算性能的核心,是云供应商对外提供服务,用户感受服务性能的关键所在,它直接关系到云平台的整体性能和系统的资源利用率.在对经典的MinMin调度算法进行分析的基础上,结合云计算环境对Min-Min算法进行了改进.提出了一种基于相对负载均衡的LL-Min-Min算法.仿真实验表明,LL-Min-Min算法能够满足云计算环境下任务的多样性和不确定性的要求,可以较大地改善数据中心的负载均衡,提高集群的吞吐率.
Cloud computing data center load scheduling is the core of cloud computing performance, is the cloud provider to provide external services, the user experience the key performance of the service, which is directly related to the overall performance of the cloud platform and system resource utilization.In the classic Min-Min scheduling algorithm based on the analysis of the Min-Min algorithm is improved based on cloud computing environment.A LL-Min-Min algorithm based on relative load balancing is proposed.Experimental results show that LL-Min-Min algorithm can To meet the requirements of the diversity and uncertainty of tasks in the cloud computing environment, it can greatly improve data center load balancing and increase the throughput of the cluster.