Issue No. 04 - April (2011 vol. 60)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TC.2010.82
Jae-Wan Jang , Korea Advanced Institute of Science and Technology (KAIST), Daejeon
Myeongjae Jeon , Rice University, Houston
Hyo-Sil Kim , Korea Advanced Institute of Science and Technology (KAIST), Daejeon
Jin-Soo Kim , Sungkyunkwan University, Suwon
Seungryoul Maeng , Korea Advanced Institute of Science and Technology (KAIST), Daejeon
Heeseung Jo , Korea Advanced Institute of Science and Technology (KAIST), Daejeon
Increasing energy consumption in server consolidation environments leads to high maintenance costs for data centers. Main memory, no less than processor, is a major energy consumer in this environment. This paper proposes a technique for reducing memory energy consumption using virtual machine scheduling in multicore systems. We devise several heuristic scheduling algorithms by using a memory power simulator, which we designed and implemented. We also implement the biggest cover set first (BCSF) scheduling algorithm in the working server system. Through extensive simulation and implementation experiments, we observe the effectiveness of the memory-aware virtual machine scheduling in saving memory energy. In addition, we find out that power-aware memory management is essential to reduce the memory energy consumption.
DRAM energy, virtual machine, scheduling, multicore processor.
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Jin-Soo Kim, Seungryoul Maeng, Heeseung Jo, "Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling", IEEE Transactions on Computers, vol. 60, no. , pp. 552-564, April 2011, doi:10.1109/TC.2010.82