摘要
随着互联网的不断发展、用户数量的急剧增长,互联网中出现了网络拥塞、服务器负载过重、响应时间过长等严重问题,其中负载均衡算法是影响服务器集群整体性能的一个关键因素。运用统计学中的因子分析理论,提出了一种基于因子分析的负载均衡算法。该算法利用因子分析法计算出综合负载,并用这个指标帮助负载均衡器选择合适的服务器,均匀地将用户的请求进行分发,从而达到整体上较好的负载均衡。
With the development of Internet and the rapid increase of users, there are a lot of serious problems in Internet, such as network congestion, server overload and too long response time. The load balance algorithm is the important factor that impacts the whole performance. In this paper, the factor analysis method is used to improve the algorithm, and an improved algorithm that combined with factor analysis method is propsed. The improved algorithm uses factor analysis method to figure out the servers' load, and the index can help load balancer choose the appropriate server, then the requests will be distributed evenly, and the cluster achieves a better load-balance status.
出处
《微型机与应用》
2015年第2期59-62,共4页
Microcomputer & Its Applications
基金
863项目(2009AA012201)
国家自然基金项目(61272107
61202173
61103068)
上海市优秀学科带头人计划项目(10XD1404400)
华为创新研究计划项目(IRP-2013-12-03)
高效能服务器和存储技术国家重点实验室开放基金项目(2014HSSA10)
关键词
内容分发
因子分析
负载均衡
content delivery
factor analysis
load balance