基于集群规模调整的节能存储策略-计算机工程与应用.PDF

80 2017 ，53（24 ） Computer Engineering and Applications 计算机工程与应用 基于集群规模调整的节能存储策略 用 1 1 2 妙晓龙 ，陈 浩 ，钟 将 应 1 1 2 MIAO Xiaolong , CHEN Hao , ZHONG Jiang与 1. 重庆大学 计算机学院，重庆 400044程 2.信息物理社会可信服务计算教育部重点实验室，重庆 400044 g r 1.College of Computer Science, Chongqing University, Chongqing 400044, China 工 o 2.Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing 400044, China . 机 j a MIAO Xiaolong, CHEN Hao, ZHONG Jiang. Energy-conserving strategies of file storage based on cluster scale 算 e adjustment. Computer Engineering and Applications, 2017, 53 （24 ）：80-85. c 计 w. Abstract ：According to the research report of the google data-center, traditional data-center has the problem of the high energy consumption and low utilization ratio. A Hadoop Distributed File System （HDFS ）energy-saving storage scheme w based on cluster scale adjustment is proposed to realize HDFS efficient energy-saving storage by the access rules of clus- w ter data block in this paper. The strategy is improved in the cluster in the regional division, data block migration strategy opti- mization and caching mechanisms. The simulation experiment results show that using the energy- saving strategies of HDFS energy-saving varies between 35%~40% than traditional HDFS, 0.3% access need to wake up the servers. At the same time, while the caching storage is introducted, the performance of the cluster is improved by 5.1% compared with traditional HDFS. Key wo