research-article

Reliability-aware dynamic energy management in dependable embedded real-time systems

Author:

Dakai ZhuAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 10, Issue 2

Article No.: 26, Pages 1 - 27

https://doi.org/10.1145/1880050.1880062

Published: 07 January 2011 Publication History

Abstract

Recent studies show that voltage scaling, which is an efficient energy management technique, has a direct and negative effect on system reliability because of the increased rate of transient faults (e.g., those induced by cosmic particles). In this article, we propose energy management schemes that explicitly take system reliability into consideration. The proposed reliability-aware energy management schemes dynamically schedule recoveries for tasks to be scaled down to recuperate the reliability loss due to energy management. Based on the amount of available slack, the application size, and the fault rate changes, we analyze when it is profitable to reclaim the slack for energy savings without sacrificing system reliability. Checkpoint technique is further explored to efficiently use the slack. Analytical and simulation results show that the proposed schemes can achieve comparable energy savings as ordinary energy management schemes (which are reliability-ignorant) while preserving system reliability. The ordinary energy management schemes that ignore the effects of voltage scaling on fault rate changes could lead to drastically decreased system reliability.

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Reliability-aware dynamic energy management in dependable embedded real-time systems

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cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 10, Issue 2

December 2010

457 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/1880050

Issue’s Table of Contents

Copyright © 2011 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 07 January 2011

Accepted: 01 May 2006

Received: 01 January 2006

Published in TECS Volume 10, Issue 2

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Cited By

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https://doi.org/10.1587/transinf.2023EDP7262
Xu HZhang BPan CLi K(2024)Energy-efficient triple modular redundancy scheduling on heterogeneous multi-core real-time systemsJournal of Parallel and Distributed Computing10.1016/j.jpdc.2024.104915191(104915)Online publication date: Sep-2024
https://doi.org/10.1016/j.jpdc.2024.104915
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https://doi.org/10.1109/TCAD.2022.3215690
Alishzadeh YJassbi SReshadi M(2023)Energy management of fault-tolerant real-time embedded systems through switching-activity-based techniquesMicroprocessors and Microsystems10.1016/j.micpro.2023.104929102(104929)Online publication date: Oct-2023
https://doi.org/10.1016/j.micpro.2023.104929
Bankar ASha SBhimani JChaturvedi VQuan G(2022)Thermal Aware System-Wide Reliability Optimization for Automotive Distributed Computing ApplicationsIEEE Transactions on Vehicular Technology10.1109/TVT.2022.318597871:10(10442-10457)Online publication date: Oct-2022
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Ansari MSafari SKhdr HGohari-Nazari PHenkel JEjlali AHessabi S(2022)Power-Aware Checkpointing for Multicore Embedded SystemsIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2022.3188568(1-15)Online publication date: 2022
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Niu LZhu D(2022) Fixed-Priority Scheduling for Reliable and Energy-Aware ( m , k )-Deadlines Enforcement With Standby-Sparing IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2021.306152241:3(502-515)Online publication date: Mar-2022
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