Load balancing algorithm with genetic algorithm in virtual machines of cloud computing
Load balancing algorithm with genetic algorithm in virtual machines of cloud computing
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发表时间：
2012
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通讯作者：
Xiao-li Wang
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作者：
Xiao-li Wang
该文考虑如何最小化单云中虚拟机的任务响应时间和资源损耗成本，提出一种基于遗传算法的负载均衡优化算法。算法中设计自适应变异概率，根据用户任务的实际需求动态调整整个优化过程中响应时间和资源消耗的比例。仿真结果表明，该算法不仅能够满足客户需求，而且能够获得更高的资源利用率。
In this paper,how to minimize task response time and resources loss cost of virtual machines in a single cloud is considered and a load balancing optimization algorithm based on genetic algorithm is proposed.In the proposed algorithm,we design the adaptive mutation probability,and dynamic adjust the proportion of response time and resource depletion in the whole optimizing process according to the actual needs of user tasks.Simulation results show that the proposed algorithm can not only satisfy customer needs,but also can be able to get higher resources utilization.