Sensor-based fast thermal evaluation model for energy efficient high-performance datacenters

Qinghui Tang, Tridib Mukherjee, Sandeep Gupta, Phil Cayton

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

166 Scopus citations

Abstract

In this work, we propose an abstract heat flow model which uses temperature information from onboard and ambient sensors, characterizes hot air recirculation based on these information, and accelerates the thermal evaluation process for high performance datacenters. This is critical to minimize energy costs, optimize computing resources, and maximize computation capability of the datacenters. Given a workload and thermal profile, obtained from various distributed sensors, we predict the resulting temperature distribution in a fast and accurate manner taking into account the recirculation characterization of a datacenter topology. Simulation results confirm our hypothesis that heat recirculation can be characterized as cross interference in our abstract heat flow model. Moreover, fast thermal evaluation based on cross interference can be used in online thermal management to predict temperature distribution in real-time.

Original languageEnglish (US)
Title of host publicationProceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006
Pages203-208
Number of pages6
DOIs
StatePublished - Dec 1 2006
Event4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006 - Bangalore, India
Duration: Dec 15 2006Dec 18 2006

Publication series

NameProceedings - 4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006

Other

Other4th International Conference on Intelligent Sensing and Information Processing, ICISIP 2006
CountryIndia
CityBangalore
Period12/15/0612/18/06

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

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