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Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling
April 2011 (vol. 60 no. 4)
pp. 552-564
ASCII Text
x 
 
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Heeseung Jo, Jin-Soo Kim, Seungryoul Maeng, "Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling," IEEE Transactions on Computers, vol. 60, no. 4, pp. 552-564, April, 2011.
 
 
BibTex
x
 
@article{ 10.1109/TC.2010.82,
author = {Jae-Wan Jang and Myeongjae Jeon and Hyo-Sil Kim and Heeseung Jo and Jin-Soo Kim and Seungryoul Maeng},
title = {Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling},
journal ={IEEE Transactions on Computers},
volume = {60},
number = {4},
issn = {0018-9340},
year = {2011},
pages = {552-564},
doi = {http://doi.ieeecomputersociety.org/10.1109/TC.2010.82},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Computers
TI - Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling
IS - 4
SN - 0018-9340
SP552
EP564
EPD - 552-564
A1 - Jae-Wan Jang,
A1 - Myeongjae Jeon,
A1 - Hyo-Sil Kim,
A1 - Heeseung Jo,
A1 - Jin-Soo Kim,
A1 - Seungryoul Maeng,
PY - 2011
KW - DRAM energy
KW - virtual machine
KW - scheduling
KW - multicore processor.
VL - 60
JA - IEEE Transactions on Computers
ER -
 
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
Heeseung Jo, 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
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.

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Index Terms:
DRAM energy, virtual machine, scheduling, multicore processor.
Citation:
Jae-Wan Jang, Myeongjae Jeon, Hyo-Sil Kim, Heeseung Jo, Jin-Soo Kim, Seungryoul Maeng, "Energy Reduction in Consolidated Servers through Memory-Aware Virtual Machine Scheduling," IEEE Transactions on Computers, vol. 60, no. 4, pp. 552-564, April 2011, doi:10.1109/TC.2010.82
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