Periodic thermal management for hard real-time systems

Long Cheng, Kai Huang, Gang Chen, Biao Hu, Alois Knoll

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Due to growing power density, on-chip temperature increases rapidly, which has hampered the reliability and performance of modern real-time systems. This paper studies how to minimize the peak temperature for hard real-time systems under hard real-time constraints with periodic thermal management. A closed-form representation of the peak temperature for such a periodic scheme is derived to tackle this problem. Based on this closed-form and the arrival curve model which is used to model the system workload, two approaches that can derive periodic thermal management are proposed to minimize the peak temperature for a given event stream with a trade-off between complexity and accuracy. Case studies show that our approaches can achieve similar or better level of peak temperature but with two or three orders of magnitude lower computation expense compared to previous work.

Original languageEnglish
Title of host publication2015 10th IEEE International Symposium on Industrial Embedded Systems, SIES 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-58
Number of pages10
ISBN (Electronic)9781467377119
DOIs
StatePublished - 10 Aug 2015
Event10th IEEE International Symposium on Industrial Embedded Systems, SIES 2015 - Siegen, Germany
Duration: 8 Jun 201510 Jun 2015

Publication series

Name2015 10th IEEE International Symposium on Industrial Embedded Systems, SIES 2015 - Proceedings

Conference

Conference10th IEEE International Symposium on Industrial Embedded Systems, SIES 2015
Country/TerritoryGermany
CitySiegen
Period8/06/1510/06/15

Keywords

  • Decision support systems
  • Optical wavelength conversion
  • Rail to rail outputs
  • Three-dimensional displays

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