Abstract
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 centers management level of intelligence, intensiveness and automation. On the basis of comprehensive utilization of the physical machines 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.
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