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Combined Time and Information Redundancy for SEU-Tolerance in Energy-Efficient Real-Time Systems

Combined Time and Information Redundancy for SEU-Tolerance in Energy-Efficient Real-Time Systems
Combined Time and Information Redundancy for SEU-Tolerance in Energy-Efficient Real-Time Systems
Recently the trade-off between energy consumption and fault-tolerance in real-time systems has been highlighted. These works have focused on dynamic voltage scaling (DVS) to reduce dynamic energy dissipation and on time redundancy to achieve transient-fault tolerance. While the time redundancy technique exploits the available slack time to increase the fault-tolerance by performing recovery executions, DVS exploits slack time to save energy. Therefore we believe there is a resource conflict between the time-redundancy technique and DVS. The first aim of this paper is to propose the usage of information redundancy to solve this problem. We demonstrate through analytical and experimental studies that it is possible to achieve both higher transient fault-tolerance (tolerance to single event upsets (SEU)) and less energy using a combination of information and time redundancy when compared with using time redundancy alone. The second aim of this paper is to analyze the interplay of transient-fault tolerance (SEU-tolerance) and adaptive body biasing (ABB) used to reduce static leakage energy, which has not been addressed in previous studies. We show that the same technique (i.e. the combination of time and information redundancy) is applicable to ABB-enabled systems and provides more advantages than time redundancy alone.
Ejlali, Ali
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Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Schmitz, Marcus
be42b684-21eb-4e72-9e34-93d0349efbc6
Rosinger, Paul
b4dae52c-aeb6-4e07-8a63-d6deaae76ef2
Miremadi, Seyed G.
c64a3ae7-3673-4413-9b21-c8ffc3683198
Ejlali, Ali
34db0234-da9e-4c59-8290-a11972cf3c99
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Schmitz, Marcus
be42b684-21eb-4e72-9e34-93d0349efbc6
Rosinger, Paul
b4dae52c-aeb6-4e07-8a63-d6deaae76ef2
Miremadi, Seyed G.
c64a3ae7-3673-4413-9b21-c8ffc3683198

Ejlali, Ali, Al-Hashimi, Bashir M., Schmitz, Marcus, Rosinger, Paul and Miremadi, Seyed G. (2006) Combined Time and Information Redundancy for SEU-Tolerance in Energy-Efficient Real-Time Systems. IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Record type: Article

Abstract

Recently the trade-off between energy consumption and fault-tolerance in real-time systems has been highlighted. These works have focused on dynamic voltage scaling (DVS) to reduce dynamic energy dissipation and on time redundancy to achieve transient-fault tolerance. While the time redundancy technique exploits the available slack time to increase the fault-tolerance by performing recovery executions, DVS exploits slack time to save energy. Therefore we believe there is a resource conflict between the time-redundancy technique and DVS. The first aim of this paper is to propose the usage of information redundancy to solve this problem. We demonstrate through analytical and experimental studies that it is possible to achieve both higher transient fault-tolerance (tolerance to single event upsets (SEU)) and less energy using a combination of information and time redundancy when compared with using time redundancy alone. The second aim of this paper is to analyze the interplay of transient-fault tolerance (SEU-tolerance) and adaptive body biasing (ABB) used to reduce static leakage energy, which has not been addressed in previous studies. We show that the same technique (i.e. the combination of time and information redundancy) is applicable to ABB-enabled systems and provides more advantages than time redundancy alone.

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More information

Published date: July 2006
Additional Information: Embedded systems, energy efficiency, fault tolerance, Single event upsets
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 261934
URI: http://eprints.soton.ac.uk/id/eprint/261934
PURE UUID: 288092f8-d248-428c-b743-bb729429c57e

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Date deposited: 07 Feb 2006
Last modified: 14 Mar 2024 07:01

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Contributors

Author: Ali Ejlali
Author: Bashir M. Al-Hashimi
Author: Marcus Schmitz
Author: Paul Rosinger
Author: Seyed G. Miremadi

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