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