IEICE TRANSACTIONS on Information
Trading-Off Computing and Cooling Energies by VM Migration in Data Centers
Summary :
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
Latest Issue
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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},}
Copy
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 -
English
