Trading-Off Computing and Cooling Energies by VM Migration in Data Centers

Ying SONG; Xia ZHAO; Bo WANG; Yuzhong SUN

doi:10.1587/transinf.2017EDP7329

Trading-Off Computing and Cooling Energies by VM Migration in Data Centers

Ying SONG, Xia ZHAO, Bo WANG, Yuzhong SUN

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High energy cost is a big challenge faced by the current data centers, wherein computing energy and cooling energy are main contributors to such cost. Consolidating workload onto fewer servers decreases the computing energy. However, it may result in thermal hotspots which typically consume greater cooling energy. Thus the tradeoff between computing energy decreasing and cooling energy decreasing is necessary for energy saving. In this paper, we propose a minimized-total-energy virtual machine (VM for short) migration model called C²vmMap based on efficient tradeoff between computing and cooling energies, with respect to two relationships: one for between the resource utilization and computing power and the other for among the resource utilization, the inlet and outlet temperatures of servers, and the cooling power. Regarding online resolution of the above model for better scalability, we propose a VM migration algorithm called C²vmMap_heur to decrease the total energy of a data center at run-time. We evaluate C²vmMap_heur under various workload scenarios. The real server experimental results show that C²vmMap_heur reduces up to 40.43% energy compared with the non-migration load balance algorithm. This algorithm saves up to 3x energy compared with the existing VM migration algorithm.

Publication: IEICE TRANSACTIONS on Information Vol.E101-D No.9 pp.2224-2234

Publication Date: 2018/09/01

Publicized: 2018/06/01

Online ISSN: 1745-1361

DOI: 10.1587/transinf.2017EDP7329

Type of Manuscript: PAPER

Category: Fundamentals of Information Systems

Authors

Ying SONG
  Beijing Key Laboratory of Internet Culture and Digital Dissemination
Xia ZHAO
  Beijing Technology and Business University
Bo WANG
  Zhengzhou University of Light Industry
Yuzhong SUN
  CAS

Keyword

energy saving, trading off, computing energy, cooling energy, VM migration

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Ying SONG, Xia ZHAO, Bo WANG, Yuzhong SUN, "Trading-Off Computing and Cooling Energies by VM Migration in Data Centers" in IEICE TRANSACTIONS on Information, vol. E101-D, no. 9, pp. 2224-2234, September 2018, doi: 10.1587/transinf.2017EDP7329.
Abstract: High energy cost is a big challenge faced by the current data centers, wherein computing energy and cooling energy are main contributors to such cost. Consolidating workload onto fewer servers decreases the computing energy. However, it may result in thermal hotspots which typically consume greater cooling energy. Thus the tradeoff between computing energy decreasing and cooling energy decreasing is necessary for energy saving. In this paper, we propose a minimized-total-energy virtual machine (VM for short) migration model called C²vmMap based on efficient tradeoff between computing and cooling energies, with respect to two relationships: one for between the resource utilization and computing power and the other for among the resource utilization, the inlet and outlet temperatures of servers, and the cooling power. Regarding online resolution of the above model for better scalability, we propose a VM migration algorithm called C²vmMap_heur to decrease the total energy of a data center at run-time. We evaluate C²vmMap_heur under various workload scenarios. The real server experimental results show that C²vmMap_heur reduces up to 40.43% energy compared with the non-migration load balance algorithm. This algorithm saves up to 3x energy compared with the existing VM migration algorithm.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2017EDP7329/_p

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@ARTICLE{e101-d_9_2224,
author={Ying SONG, Xia ZHAO, Bo WANG, Yuzhong SUN, },
journal={IEICE TRANSACTIONS on Information},
title={Trading-Off Computing and Cooling Energies by VM Migration in Data Centers},
year={2018},
volume={E101-D},
number={9},
pages={2224-2234},
abstract={High energy cost is a big challenge faced by the current data centers, wherein computing energy and cooling energy are main contributors to such cost. Consolidating workload onto fewer servers decreases the computing energy. However, it may result in thermal hotspots which typically consume greater cooling energy. Thus the tradeoff between computing energy decreasing and cooling energy decreasing is necessary for energy saving. In this paper, we propose a minimized-total-energy virtual machine (VM for short) migration model called C²vmMap based on efficient tradeoff between computing and cooling energies, with respect to two relationships: one for between the resource utilization and computing power and the other for among the resource utilization, the inlet and outlet temperatures of servers, and the cooling power. Regarding online resolution of the above model for better scalability, we propose a VM migration algorithm called C²vmMap_heur to decrease the total energy of a data center at run-time. We evaluate C²vmMap_heur under various workload scenarios. The real server experimental results show that C²vmMap_heur reduces up to 40.43% energy compared with the non-migration load balance algorithm. This algorithm saves up to 3x energy compared with the existing VM migration algorithm.},
keywords={},
doi={10.1587/transinf.2017EDP7329},
ISSN={1745-1361},
month={September},}

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TY - JOUR
TI - Trading-Off Computing and Cooling Energies by VM Migration in Data Centers
T2 - IEICE TRANSACTIONS on Information
SP - 2224
EP - 2234
AU - Ying SONG
AU - Xia ZHAO
AU - Bo WANG
AU - Yuzhong SUN
PY - 2018
DO - 10.1587/transinf.2017EDP7329
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2018
AB - High energy cost is a big challenge faced by the current data centers, wherein computing energy and cooling energy are main contributors to such cost. Consolidating workload onto fewer servers decreases the computing energy. However, it may result in thermal hotspots which typically consume greater cooling energy. Thus the tradeoff between computing energy decreasing and cooling energy decreasing is necessary for energy saving. In this paper, we propose a minimized-total-energy virtual machine (VM for short) migration model called C²vmMap based on efficient tradeoff between computing and cooling energies, with respect to two relationships: one for between the resource utilization and computing power and the other for among the resource utilization, the inlet and outlet temperatures of servers, and the cooling power. Regarding online resolution of the above model for better scalability, we propose a VM migration algorithm called C²vmMap_heur to decrease the total energy of a data center at run-time. We evaluate C²vmMap_heur under various workload scenarios. The real server experimental results show that C²vmMap_heur reduces up to 40.43% energy compared with the non-migration load balance algorithm. This algorithm saves up to 3x energy compared with the existing VM migration algorithm.
ER -