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基于负载灰度图映射模型的云集群负载评估方法
引用本文:董静宜,王鹏,秦永波,江炳坤,陈磊,任超.基于负载灰度图映射模型的云集群负载评估方法[J].计算机科学,2012,39(3):23-27.
作者姓名:董静宜  王鹏  秦永波  江炳坤  陈磊  任超
作者单位:(成都信息工程学院并行计算实验室 成都610225) (中国科学院成都计算机应用研究所 成都610041)(中国科学院研究生院北京100049)
基金项目:国家自然科学基金(60702075);四川省青年科学基金前期资助(09ZQ026-068);第41批中国博士后科学基金(20070410385);第45批中国博士后科学基金(20090451420);四川省教育厅自然科学重点项目(07ZA014);中组部“西部之光”计划项目资助
摘    要:为了快速评估云计算中百万节点的整体负载状态,通过分析负载均衡本质与图像均衡特征的对应关系,以熵和信息论为基础,构建了集群负载信息向灰度图的映射模型,完成了负载均衡研究向图像均衡分析的转换。通过图像压缩、信息熵、haar小波变换方法对图像进行分析,提出了一种基于图像处理的集群负载评估方法。实验表明,该方法可以较快地评估出集群均衡性,由此得到的集群负载状态值为负载均衡算法的改进提供了新的思路。

关 键 词:云计算  负载评估方法  负载灰度图映射模型

Load Evaluation Method about Cloud Computing Cluster Based on the Load Grayscale Mapping Model
DONG Jing-yi,WANG Peng,QIN Yong-bo,JIANG Bing-kun,CHEN Lei,REN Chao.Load Evaluation Method about Cloud Computing Cluster Based on the Load Grayscale Mapping Model[J].Computer Science,2012,39(3):23-27.
Authors:DONG Jing-yi  WANG Peng  QIN Yong-bo  JIANG Bing-kun  CHEN Lei  REN Chao
Affiliation:1(Parallel Lab,Chengdu University of Information Technology,Chengdu 610225,China)1(Chengdu Institute of Computer Application,Chinese Academy of Sciences,Chengdu 610041,China)2(The Graduate School of Chinese Academy of Sciecnes,Beijing 100049,China)3
Abstract:To assess the overall load status of millions of nodes in cloud computer ctuickly, this paper constructed a mapping model that loads information map to grayscale image based on the entropy value and information theory. A conversion was completed from load balance to graphic ectualizer by analyzing the relationship. There are some experiments by using image compression, image entropy, haar wavelet to analyze image. A load evaluation method was proposed. The experiments show that this method can assess cluster balance quickly and thoroughly. A new load status value is provided for further study of load balancing algorithm.
Keywords:Cloud computing cluster  Load evaluation methods  Load grayscale mapping model
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