A Heat-Recirculation-Aware Data Placement Strategy towards Data Centers

Abstract

The development of cloud computing leads to an exponential growth of data, which requires expanding the storage capacity to meet the storage needs, in exchange the energy consumption of the data center will also increase. Many traditional data placement schemes attempt to achieve energy consumption minimization by optimizing the distribution of data requests, however, ignoring the impact of heat recirculation in data placement. To fill this gap, we propose a heat-recirculation-aware data placement strategy called HRADP to achieve optimized data placement to data centers. Furthermore, our strategy can minimize the overall energy consumption of data centers and improve throughput. Specifically, we consider heat recirculation between data nodes by regulating the energy consumption limit of each data node. We implement this data placement strategy on a data center simulation platform, CloudSim, and compare it with two data placement strategies, TIGER and HDFS. The experimental results unveil that HRADP achieves 2.6x - 25.7x performance improvement in the same energy consumption.