Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Research on Energy Consumption Modeling Method for Multi-Type Hybrid Applications

Authors
Fengyu Guo, Xiaoying Wang
Corresponding Author
Fengyu Guo
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.4How to use a DOI?
Keywords
cloud computing; power modeling; hybrid applications
Abstract

With the rapid development of cloud computing, a large number of datacenters were built. These datacenters provide excellent computing resource and service to people. However, they also bring huge energy consumption at the same time. Scientists all around the world try to solve this problem, for which the first step is to build an accurate power consumption model. Some related work aims to establish a model which only can be applied to a single-type application. Nevertheless, multi-type applications are often executed simultaneously in practice, and it is difficult to establish a multi-type application power consumption model. In this paper, we design a multi-type application power consumption model based on the hardware resource utilization ratio, recording the server power at different hardware resource utilization ratio. Using hardware resource utilization ratio as input and the power as output, we build the model by leveraging the BP neural network method. Finally, the accuracy of our method can reach 95%.

Copyright
© 2017, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.4How to use a DOI?
Copyright
© 2017, 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  - Fengyu Guo
AU  - Xiaoying Wang
PY  - 2017/05
DA  - 2017/05
TI  - Research on Energy Consumption Modeling Method for Multi-Type Hybrid Applications
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 14
EP  - 20
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.4
DO  - 10.2991/ammsa-17.2017.4
ID  - Guo2017/05
ER  -