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:2019,28(6):243-246
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LVS资源负载策略应用研究
(1.中国科学院大学 计算机控制与工程学院, 北京 100049;2.中国科学院 沈阳计算技术研究所, 沈阳 110168;3.沈阳高精数控智能技术股份有限公司, 沈阳 110168)
Application Research of LVS Resource Load Strategy
(1.School of Computer and Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China;2.Shenyang Institute of Computing Technology, Chinese Academy of Sciences, Shenyang 110168, China;3.Shenyang Golding NC Technology Co. Ltd., Shenyang 110168, China)
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投稿时间:2018-11-08    修订日期:2018-12-04
中文摘要: LVS (Linux Virtual Server)是提高云平台资源利用率的方案之一,但是由于LVS负载均衡算法的权值设置不科学以及在分配连接请求时不能实时地平衡任务,导致云环境中的服务器负载失衡,降低了系统对外提供服务的能力.针对以上问题,本文将模拟退火算法和加权最小连接算法相结合,提出一个基于最佳负载因子的负载均衡策略.并通过实验证明,最佳负载因子策略能够使集群中节点负载更加均衡,极大程度上提高了集群资源利用率.
中文关键词: 负载均衡  LVS  WLC  集群系统  模拟退火
Abstract:Linux Virtual Server (LVS) is one of the solutions to improve the resource utilization of cloud platform. However, because the weight setting of the LVS load balance algorithm is unscientific and the task cannot be balanced in real time when the connection request is allocated, the server load in the cloud environment is unbalanced, which reduces the ability of the system to provide external services. In view of the above problems, the simulated annealing algorithm and weighted least-connection algorithm are combined in this study to offer an improved balance strategy with optimal load factor. Experiments show that the optimal load factor strategy can make the node load in the cluster more balanced, so that the high availability of the cloud platform is improved.
keywords: load balancing  LVS  WLC  cluster  simulate anneal
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李姗姗,高岑,王美吉,李冬梅,焦艳菲.LVS资源负载策略应用研究.计算机系统应用,2019,28(6):243-246
LI Shan-Shan,GAO Cen,WANG Mei-Ji,LI Dong-Mei,JIAO Yan-Fei.Application Research of LVS Resource Load Strategy.COMPUTER SYSTEMS APPLICATIONS,2019,28(6):243-246

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