DRSO-EGSM: data replication strategy oriented to automatic energy gear-shifting mechanism Online publication date: Thu, 11-Jan-2018
by Xindong You; Yeli Li; Zhenyang Zhu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 13, No. 4, 2017
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.
Online publication date: Thu, 11-Jan-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Wireless and Mobile Computing (IJWMC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com