%0 Journal Article
%T Load Evaluation Method about Cloud Computing Cluster Based on the Load Grayscale Mapping Model<br>基于负载灰度图映射模型的云集群负载评估方法
%A DONG Jing-yi
%A WANG Peng
%A QIN Yong-bo
%A JIANG Bing-kun
%A CHEN Lei
%A REN Chao
%A <br>董静宜
%A 王鹏
%A 秦永波
%A 江炳坤
%A 陈磊
%A 任超
%J 计算机科学
%D 2012
%I 
%X 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.
%K Cloud computing cluster
%K Load evaluation methods
%K Load grayscale mapping model<br>云计算
%K 负载评估方法
%K 负载灰度图映射模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=AA79AB8992AE00AF10E00D5FFC29B219&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=38B194292C032A66&sid=EA389574707BDED3&eid=DB817633AA4F79B9&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0