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基于负载预测的虚拟机资源优化分配方案
引用本文:郑顾平,王秋萍.基于负载预测的虚拟机资源优化分配方案[J].科学技术与工程,2016,16(23).
作者姓名:郑顾平  王秋萍
作者单位:华北电力大学 控制与计算机工程学院,华北电力大学 控制与计算机工程学院
基金项目:国家自然科学(51407076);河北省自然科学基金(F2014502050)
摘    要:云计算环境下,为了提高主机资源利用率和保证性能,考虑了主机负载因素的影响,提出了一种基于负载预测的虚拟机资源优化分配方案。通过预测主机负载情况,过滤掉即将达到警告值的主机,保证主机性能,防止虚拟机因负载过重发生不必要的迁移;对参与分配的物理机进行资源最大化利用分配,提高物理主机的资源利用率。通过仿真实验对该方案进行验证。实验结果表明该方案在保证了主机性能的同时提高了资源利用率。

关 键 词:负载预测  虚拟机  分配  资源利用率
收稿时间:2016/3/25 0:00:00
修稿时间:8/9/2016 12:00:00 AM

Allocation Scheme of Virtual Machine Resource Optimization Based Load Forecast
ZHENG Gu-ping and.Allocation Scheme of Virtual Machine Resource Optimization Based Load Forecast[J].Science Technology and Engineering,2016,16(23).
Authors:ZHENG Gu-ping and
Abstract:In order to improve resource utilization and ensure the performance of the host in cloud computing environment and considering the impact of load factors, an allocation scheme of virtual machine resource optimization based load forecast were propsed. Filter out the hosts which will reach warning value by predicting the host load to ensure the host performance and to prevent unnecessary migration of virtual machines cause of overload. The physical machines participated in the distribution were maximize utilizated of resources by locating and improve resource utilization of physical servers. The method was implemented by simulation experiments, the experiment demonstrates that the method can improve the resource utilization while ensure the performance of the host.
Keywords:Load forecasting  Virtual machine  Distribution  Resource utilization
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