A network model for prediction of temperature distribution in data centers

Shinya Tashiro, Yuya Tarutani, Go Hasegawa, Yutaka Nakamura, Kazuhiro Matsuda, Morito Matsuoka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

We propose a novel network model for real-time prediction of temperature distribution in a data center so as to allow energy-efficient task assignment and facility management. We model various physical relationships in the data center as a network, including heat movements caused by airflow and heat generation by servers. Since changes in temperature distribution depend on physical properties of the data center such as equipment locations and server types, model parameters (connection weights in the network) that characterize relationship of nodes are determined by a machine learning technique using actual data center operation data. The proposed method provides prediction results in a shorter time than traditional methods such as model based on computational fluid dynamics and potential flow model, while maintaining prediction accuracy. We evaluate the performance of the proposed model through comparison with actual data from our experimental data center. The evaluation indicates that the proposed model can predict 10-minute future temperature distributions in 60 places in 3.3 ms, with a root mean square error of 0.49 degrees.

Original languageEnglish
Title of host publication2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages261-266
Number of pages6
ISBN (Electronic)9781467395014
DOIs
Publication statusPublished - 2015 Nov 20
Externally publishedYes
Event4th IEEE International Conference on Cloud Networking, CloudNet 2015 - Falls, Canada
Duration: 2015 Oct 52015 Oct 7

Publication series

Name2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015

Conference

Conference4th IEEE International Conference on Cloud Networking, CloudNet 2015
CountryCanada
CityFalls
Period15/10/515/10/7

Keywords

  • Data center
  • Machine learning
  • Network model
  • Power consumption reduction
  • Temperature prediction

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Tashiro, S., Tarutani, Y., Hasegawa, G., Nakamura, Y., Matsuda, K., & Matsuoka, M. (2015). A network model for prediction of temperature distribution in data centers. In 2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015 (pp. 261-266). [7335319] (2015 IEEE 4th International Conference on Cloud Networking, CloudNet 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CloudNet.2015.7335319