Energy efficient optimization method for green data center based on cloud computing
Authors
Runze Wu, Wenwei Chen, Li Li, Kuangyi Zhao
Corresponding Author
Runze Wu
Available Online December 2015.
- DOI
- 10.2991/nceece-15.2016.268How to use a DOI?
- Keywords
- Data center; Maximize efficiency; Clustering analysis; Scheduling mechanism
- Abstract
With the rapid development of cloud computing data centers, the problems of tremendous power consumption has become increasingly prominent, so it is of great practical significance to study the energy efficiency of cloud computing green data center. This paper proposes a mathematical model based on the constraint of QoS which combines benefits and costs, the model takes account some factors including electricity price, renewable power generation, service rate and Qos. Finally clustering algorithm is applied to the data center task scheduling mechanism to reduce data center energy consumption and increase efficiency.
- 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 - Runze Wu AU - Wenwei Chen AU - Li Li AU - Kuangyi Zhao PY - 2015/12 DA - 2015/12 TI - Energy efficient optimization method for green data center based on cloud computing BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 1494 EP - 1498 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.268 DO - 10.2991/nceece-15.2016.268 ID - Wu2015/12 ER -