Authors: Xindong You; Yeli Li; Zhenyang Zhu
Addresses: Beijing Institute of Graphic Communication, Beijing, China; School of Computer Science and Technology, Tsinghua University, Beijing, China ' Beijing Institute of Graphic Communication, Beijing, China ' Hangzhou Dianzi University, Hangzhou, Zhejiang Province, China
Abstract: Recently, more and more attention has been paid on research of cloud storage system. However, with the rapid growth of data volume, the problem of high energy consumption and low efficiency has become the key factor for restricting its development. In order to provide better support for the energy gear-shifting mechanism, we designed an energy-effective data replicating strategy (DRSO-EGSM). Firstly, data is classified into two categories, based on which the number of replicas is determined. And then the replica placement strategy oriented to energy efficiency is designed. Corresponding performance model and energy consumption model are established for data partitioning strategy. Meanwhile, the energy effectiveness of the DSRO-EGSM is evaluated in GridSim simulator. Compared with current existing similar mechanisms TDCS and the default replication strategy of HDFS, substantive results obtained from simulation experiments show that DSRO-EGSM can have more advantages in reducing energy consumption while guaranteeing the system performance.
Keywords: data classification; data replication; energy efficiency; cloud storage system; energy management.
International Journal of Wireless and Mobile Computing, 2017 Vol.13 No.4, pp.291 - 298
Received: 29 Jun 2017
Accepted: 21 Jul 2017
Published online: 11 Jan 2018 *