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Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling

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6 Author(s)
Jae-Wan Jang ; Dept. of Comput. Sci., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea ; Myeongjae Jeon ; Hyo-Sil Kim ; Heeseung Jo
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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.

Published in:

Computers, IEEE Transactions on  (Volume:60 ,  Issue: 4 )

Date of Publication:

April 2011

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