A three-phase energy-saving strategy for cloud storage systems
A three-phase energy-saving strategy for cloud storage systems
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DOI：
10.1016/j.jss.2013.08.018
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Saiqin Long;Yuelong Zhao;Wei Chen-
中科院分区：
文献类型：
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作者：
Saiqin Long;Yuelong Zhao;Wei Chen-
云数据中心在运行过程中，闲置的数据节点会产生大量不必要的能量消耗。此外，资源配置不当也会造成能源的极大浪费。为了节省云供应商的能源和运营成本，本文提出了一种名为TPES的三阶段节能策略。这三个阶段分别是基于可变复制因子的副本管理、基于最优总代价的集群重构和基于观察和预测的工作负载的状态转换。这三个阶段在不同程度上为系统节省了能量，增强了策略的适应性。我们使用扩展的CloudSim工具包对我们的策略进行了评估，结果表明，与现有的策略相比，该策略在不同的条件下都取得了更好的节能效果。
In the running process of cloud data center, the idle data nodes will generate a large amount of unnecessary energy consumption. Furthermore, the resource misallocation will also cause a great waste of energy. This paper proposes a three-phase energy-saving strategy named TPES in order to save energy and operational costs for cloud suppliers. The three phases are replica management based on variable replication factor, cluster reconfiguration according to the optimal total costs and state transition based on observed and predicted workloads. These three phases save energy for the system at different levels which enhance the adaptability of our strategy. We evaluate our strategy using the expanded CloudSim toolkit and the results show that the proposed strategy achieves better energy reduction under different conditions in comparison with the existing schemes.