基于层次拓扑树的虚拟机节能分配算法

发布时间：2018-04-13 14:17

本文选题：数据中心 + 虚拟机分配　；参考：《湖南大学学报(自然科学版)》2017年02期

【摘要】：为了均衡分布式数据中心物理主机多维资源的利用率,减少物理主机使用数量,节约能耗,提出了一种基于层次拓扑树的虚拟机节能分配算法HTES(hierarchical topology energy saving),此算法可以有效提升虚拟机分配效率.利用Laplacian矩阵,对大规模网络拓扑分割,建立了层次拓扑树模型.基于层次拓扑模型,根据虚拟机请求中IP地址与数据中心的距离,将虚拟机请求分组,从层次拓扑树模型中查询合适的物理主机区域,按虚拟机请求与物理主机的资源匹配度进行虚拟机的分配.将HTES与其他3种算法进行模拟仿真实验,从虚拟机分配时间、资源均衡率、能耗和物理主机使用情况等方面验证了HTES算法能够有效加快物理主机搜索速度,增加底层占用物理主机的集中度,降低底层物理主机的使用数量,达到节约能耗的目的.
[Abstract]:In order to balance the utilization of multi-dimensional resources of physical host in distributed data center, reduce the number of physical hosts, and save energy consumption,In this paper, a hierarchical topology tree based energy saving allocation algorithm for virtual machines, HTES(hierarchical topology energy saving algorithm, is proposed, which can effectively improve the efficiency of virtual machine allocation.The hierarchical topological tree model is established by using Laplacian matrix to segment large scale network topology.Based on hierarchical topology model, the virtual machine requests are grouped according to the distance between IP address and data center in virtual machine request, and the appropriate physical host area is queried from hierarchical topology tree model.The virtual machine is allocated according to the resource matching degree between the virtual machine request and the physical host.The HTES and other three algorithms are simulated and simulated. The results show that the HTES algorithm can effectively speed up the search speed of the physical host from the aspects of virtual machine allocation time, resource equalization rate, energy consumption and the use of the physical host.Increase the concentration of the underlying physical host, reduce the number of the underlying physical host, and achieve the purpose of saving energy consumption.
【作者单位】：湖南大学信息科学与工程学院;湖南大学电气与信息工程学院;
【基金】：国家自然科学基金资助项目(61174140,61472127,61272395) 中国博士后科学基金资助项目(2013M540628,2014T70767) 湖南省自然科学基金资助项目(14JJ3107) 湖南省教育厅科研优秀青年资助项目(15B087)~~
【分类号】：TP302;TP308

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