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Research on GA-DPSO virtual machine scheduling algorithm based on comprehensive utilization of host resource

机译:基于全面利用主机资源的GA-DPSO虚拟机调度算法研究

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Virtualization technology has been widely used. Modern data center uses different equipments to support a large number of business systems. Whether the resources scheduling of virtual machine can be realized has become a very important issue, which will reflect the data center's management level of intelligence, intensiveness and automation. On the basis of comprehensive utilization of the physical machine's various resources, the algorithm combines the advantages of genetic algorithm with particle swarm optimization algorithm, with reference to model of load balancing scheduling system, constantly adjusts to the load on the host, and consequently achieves the optimum balance of comprehensive utilization rate of different host resources.
机译:虚拟化技术已被广泛使用。现代数据中心使用不同的设备来支持大量的业务系统。可以实现虚拟机的资源调度是否已成为一个非常重要的问题,这将反映数据中心的智能管理水平,集电和自动化。在基于物理机器的各种资源的综合利用的基础上,该算法结合了遗传算法与粒子群优化算法的优势,参考负载均衡调度系统模型,不断调整到主机上的负载,从而实现了不同主机资源的综合利用率的最佳平衡。

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