Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Study on Metrics Model for Energy Efficiency in Data Centers

Authors
Changgeng Yu, Liping Lai
Corresponding Author
Changgeng Yu
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.33How to use a DOI?
Keywords
Data centers; Energy efficiency; Metrics; PUE; Energy efficiency evaluation
Abstract

With the high costs of power, energy efficiency has rapidly become a critical consideration issue when evaluating data centers. Energy efficiency metric can be used by managers to measure and maintain the implementation of cost saving and Co2 emissions in data centers. In this study, A metric model for energy efficiency in data centers is created to provide a reference. Three of the most important data center metrics, PUE, CUE and DCeP, are examined closely. The paper provides a good comprehension of multiple approaches and makes recommendations for a platform metric that can be further developed and adopted as a standard.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
10.2991/icsnce-16.2016.33
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.33How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Changgeng Yu
AU  - Liping Lai
PY  - 2016/07
DA  - 2016/07
TI  - Study on Metrics Model for Energy Efficiency in Data Centers
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 168
EP  - 172
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.33
DO  - 10.2991/icsnce-16.2016.33
ID  - Yu2016/07
ER  -