Home // CLOUD COMPUTING 2016, The Seventh International Conference on Cloud Computing, GRIDs, and Virtualization // View article
Authors:
Kazumasa Kitada
Yutaka Nakamura
Kazuhiro Matsuda
Morito Matsuoka
Keywords: Data center; power simulator; computational fluid dynamics; virtual machine allocation; machine learning.
Abstract:
A dynamic power simulator for a data center was demonstrated by combining computational fluid dynamics (CFD) and machine learning. The total power consumption of the data center was simulated. The sensitivity of the temperature distribution along the virtual machine (VM) allocation was analyzed using a non-parametric process for the CFD. An allocation of server tasks was proposed for reducing the power consumption of the air conditioner installed in the data center. This simulation showed that the optimum operating temperature increases with the power usage effectiveness. These results indicate that the power simulator developed in this study is a powerful tool for dynamic power simulation and for estimation of better operation parameters, including VM allocation, from the aspect of power consumption.
Pages: 87 to 94
Copyright: Copyright (c) IARIA, 2016
Publication date: March 20, 2016
Published in: conference
ISSN: 2308-4294
ISBN: 978-1-61208-460-2
Location: Rome, Italy
Dates: from March 20, 2016 to March 24, 2016