Research on the Key Technologies of Resource Dynamic Management in Cloud Computing Environment

Abstract

For the "hot spots" problem caused by the number of replica could not satisfy the soaring request from users, we present a Cloud Computing storage resource replica dynamic scheduling scheme based on HDFS. There are two sub algorithms which is the number of replica dynamic adjustment algorithm and replica placement algorithm. This scheme could improve system stability and file access through put. The experiment result shows this optimized scheme lower the access delay obviously than the original scheme with some cost of storage resource and network workload. For the problem of metadata management, this paper introduced a distributed metadata management scheme. This scheme distributed metadata into several name node according to their ability, and provides an efficient inquiry algorithm for metadata to improve system availability and reliability. The experiment result shows the multi-name nodes system with this metadata management scheme could improve the performance than the original system facing the huge metadata operation requests.