Software architecture for dynamic thermal management in datacenters

Tridib Mukherjee, Qinghui Tang, Corbett Ziesman, Sandeep Gupta, Phil Cayton

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

47 Scopus citations

Abstract

Minimizing the energy cost and improving thermal performance of power-limited datacenters, deploying large computing clusters, are the key issues towards optimizing their computing resources and maximally exploiting the computation capabilities. In this paper, we develop a unique merger between the physical infrastructure and resource management functions of a cluster management system to take a holistic view of datacenter management, and make global (at the level of a datacenter) thermal-aware job scheduling decisions. A software architecture is presented in this regard and implemented in a fully operational computational cluster in the ASU datacenter. The proposed architecture develops a feedback-control loop, by combining information from ambient and on-board sensors with the node allocation and job scheduling mechanisms, for managing the system load depending on the thermal distribution in the datacenter.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 2nd International Conference on Communication System Software and Middleware and Workshops, COMSWARE 2007
DOIs
StatePublished - Oct 1 2007
Event2007 2nd International Conference on Communication System Software and Middleware and Workshops, COMSWARE 2007 - Bangalore, India
Duration: Jan 7 2007Jan 12 2007

Publication series

NameProceedings of the 2007 2nd International Conference on Communication System Software and Middleware and Workshops, COMSWARE 2007

Other

Other2007 2nd International Conference on Communication System Software and Middleware and Workshops, COMSWARE 2007
Country/TerritoryIndia
CityBangalore
Period1/7/071/12/07

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering

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