Thermal-aware task scheduling for data centers through minimizing heat recirculation

Qinghui Tang, Sandeep Gupta, Georgios Varsamopoulos

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

120 Scopus citations

Abstract

The thermal environment of data centers plays a significant role in affecting the energy efficiency and the reliability of data center operation. A dominant problem associated with cooling data centers is the recirculation of hot air from the equipment outlets to their inlets, causing the appearance of hot spots and an uneven inlet temperature distribution. Heat is generated due to the execution of tasks, and it varies according to the power profile of a task. We are looking into the prospect of assigning the incoming tasks around the data center in such a way so as to make the inlet temperatures as even as possible; this will allow for considerable cooling power savings. Based on our previous research work on characterizing the heat recirculation in terms of cross-interference coefficients, we propose a task scheduling algorithm for homogeneous data centers, called XInt, that minimizes the inlet temperatures, and leads to minimal heat recirculation and minimal cooling energy cost for data center operation. We verify, through both theoretical formalization and simulation, that minimizing heat recirculation will result in the best cooling energy efficiency. XInt leads to an inlet temperature distribution that is 2°C to 5°C lower than other approaches, and achieves about 20%-30% energy savings at moderate data center utilization rates. XInt also consistently achieves the best energy efficiency compared to another recirculation minimized algorithm, MinHR.

Original languageEnglish (US)
Title of host publicationProceedings - 2007 IEEE International Conference on Cluster Computing, CLUSTER 2007
Pages129-138
Number of pages10
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE International Conference on Cluster Computing, CLUSTER 2007 - Austin, TX, United States
Duration: Sep 19 2007Sep 20 2007

Publication series

NameProceedings - IEEE International Conference on Cluster Computing, ICCC
ISSN (Print)1552-5244

Other

Other2007 IEEE International Conference on Cluster Computing, CLUSTER 2007
CountryUnited States
CityAustin, TX
Period9/19/079/20/07

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Signal Processing

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