Load Evaluation Method about Cloud Computing Cluster Based on the Load Grayscale Mapping Model
基于负载灰度图映射模型的云集群负载评估方法

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.