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

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 sched...

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Bibliographic Details
Published inIEEE transactions on computers Vol. 60; no. 4; pp. 552 - 564
Main Authors Jang, Jae-Wan, Jeon, Myeongjae, Kim, Hyo-Sil, Jo, Heeseung, Kim, Jin-Soo, Maeng, Seungryoul
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2011
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Consolidation
Delay
DRAM energy
Energy consumption
Magnetic cores
Memory management
multicore processor
Processor scheduling
Reduction
Scheduling
Servers
virtual machine
Virtual machining
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Summary: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.
Bibliography:ObjectType-Article-2
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ISSN:0018-9340
1557-9956
DOI:10.1109/TC.2010.82