Energy efficient optimization method for green data center based on cloud computing

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/).

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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  -