计算机科学 ›› 2012, Vol. 39 ›› Issue (3): 23-27.
• 服务化的科研成果 • 上一篇 下一篇
董静宜，王鹏，秦永波，江炳坤，陈磊，任超
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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，以嫡和信息论为基础，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、信息墒,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，负载评佑方法，负载灰度图映射模型
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.
Key words: Cloud computing cluster,Load evaluation methods,Load grayscale mapping model
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. https://doi.org/
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