Applied Mathematics & Information Sciences
Abstract
In order to solve the urgent issue of the energy consumption in the cloud storage system. An Energy-effective adaptive replication strategy (E2ARS) is proposed in this paper, in which data partition mechanism, minimal replicas determining model, replicas placement strategies and the adaptive gear-shifting mechanism are elaborately designed. We try to conserve the energy consumption while satisfying the users’ desired response time by our E2ARS scheme. Mathematical analysis show that our E2ARS scheme will save energy consumption definitely when the system’s workload is light or desired response time is loose. And the simulation experiment results demonstrate that through our E2ARS scheme energy consumption can be saved while with Qos satisfied and data availability guaranteed, when varying the arrival rate, desired response, replicas number, parallelism degrees.
Suggested Reviewers
N/A
Recommended Citation
You, Xindong; Zhou, Li; Huang, Jie; Zhang, Jinli; Jiang, Congfeng; and Wan, Jian
(2013)
"E2ARS : An Energy-Effective Adaptive Replication Strategy in Cloud Storage System,"
Applied Mathematics & Information Sciences: Vol. 07:
Iss.
6, Article 34.
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol07/iss6/34