Hyper-periodic thermal management for hard real-time systems

Long Cheng, Zhihao Zhao, Kai Huang, Alois Knoll

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

Abstract

This paper proposes hyper-period thermal management to minimize the peak temperature while guaranteeing hard real-time constraints for real-time systems. To establish the criterion of the optimal solution, a closed-form representation of the peak temperature is derived. With this formulation and the linear convex hull of an arrival curve, an approach which derives hyper-periodic thermal management schemes is proposed to minimize the peak temperature. Case studies show that our approach achieves lower peak temperature compared to previous work.

Original languageEnglish
Title of host publication2017 12th IEEE International Symposium on Industrial Embedded Systems, SIES 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538631669
DOIs
StatePublished - 26 Jul 2017
Event12th IEEE International Symposium on Industrial Embedded Systems, SIES 2017 - Toulouse, France
Duration: 14 Jun 201716 Jun 2017

Publication series

Name2017 12th IEEE International Symposium on Industrial Embedded Systems, SIES 2017 - Proceedings

Conference

Conference12th IEEE International Symposium on Industrial Embedded Systems, SIES 2017
Country/TerritoryFrance
CityToulouse
Period14/06/1716/06/17

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