A Thermal-Aware Data Replica Placement Strategy for Data-intensive Data Centers

In this paper, we propose a thermal-aware data replica placement strategy called TADRP. This strategy is designed in two steps. First, the ant colony optimization (ACO) algorithm based on the Laplacian probability distribution obtains the near-optimal disk sequence with the minimum overall power consumption. Second, the near-optimal disk sequence is partitioned into the area of active and inactive disks; then, the sequence-based data placement policy places data replicas in the partitioned disk areas. Our objection is to adopt the TADRP strategy to improve cooling efficiency and reduce the overall power consumption of DDCs. To evaluate the overall power consumption of DDCs, we integrate TADRP into a thermal model that takes into account heat recirculation effects account. We apply a real dataset with different read/write ratios following the Zipf distribution to verify the effectiveness of TADRP for energy savings. Experiment results unveil that our TADRP is capable of offering about 19.2 %-55.1% for total energy savings without significantly degrading I/O performance against Random, Hadoop, SRS, CDP-NSGAII(IR) schemes.