EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems

Sangeet Saha; Adewale Adetomi; Xiaojun Zhai; Server Kasap; Shoaib Ehsan; Tughrul Arslan; Klaus McDonald-Maier

doi:10.1109/IOLTS52814.2021.9486707

EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems

Sangeet Saha, Adewale Adetomi, Xiaojun Zhai, Server Kasap, Shoaib Ehsan, Tughrul Arslan, Klaus McDonald-Maier

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) executes real-time tasks on low power consuming primary processors to enhance the system accuracy by maintaining the deadline and (ii) provides reliability against a fixed number of transient faults by selectively executing backup tasks on high power consuming backup processor. Simulation results reveal that EnSuRe consumes nearly 25% less energy, compared to existing techniques, while satisfying the fault tolerance requirements. EnSuRe is also able to achieve 75% system accuracy with 50% system utilisation. Further, the obtained simulation outcomes are validated on benchmark tasks via a fault injection framework on Xilinx ZYNQ APSoC heterogeneous dual core platform.

Original language	English
Title of host publication	Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781665433709
ISBN (Print)	9781665433716
DOIs	https://doi.org/10.1109/IOLTS52814.2021.9486707
Publication status	Published - 26 Jul 2021
Externally published	Yes
Event	27th IEEE International Symposium on On-Line Testing and Robust System Design - Virtual, Online Duration: 28 Jun 2021 → 30 Jun 2021 Conference number: 27

Publication series

Name	Proceedings of International journal of software science and computational intelligence.
Publisher	IEEE
ISSN (Print)	1942-9398
ISSN (Electronic)	1942-9401

Conference

Conference	27th IEEE International Symposium on On-Line Testing and Robust System Design
Abbreviated title	IOLTS 2021
City	Virtual, Online
Period	28/06/21 → 30/06/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IOLTS52814.2021.9486707Licence: Unspecified

Cite this

Saha, S., Adetomi, A., Zhai, X., Kasap, S., Ehsan, S., Arslan, T., & McDonald-Maier, K. (2021). EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems. In Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021 [9486707] (Proceedings of International journal of software science and computational intelligence.). IEEE. https://doi.org/10.1109/IOLTS52814.2021.9486707

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title = "EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems",

abstract = "This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) executes real-time tasks on low power consuming primary processors to enhance the system accuracy by maintaining the deadline and (ii) provides reliability against a fixed number of transient faults by selectively executing backup tasks on high power consuming backup processor. Simulation results reveal that EnSuRe consumes nearly 25% less energy, compared to existing techniques, while satisfying the fault tolerance requirements. EnSuRe is also able to achieve 75% system accuracy with 50% system utilisation. Further, the obtained simulation outcomes are validated on benchmark tasks via a fault injection framework on Xilinx ZYNQ APSoC heterogeneous dual core platform. ",

keywords = "Energy efficiency, Fault-tolerant scheduling, Heterogeneous processors, Real-time systems",

author = "Sangeet Saha and Adewale Adetomi and Xiaojun Zhai and Server Kasap and Shoaib Ehsan and Tughrul Arslan and Klaus McDonald-Maier",

note = "Funding Information: This work is supported by the UK Engineering and Physical Sciences Research Council through grants EP/R02572X/1, EP/P017487/1 EP/V000462/1 and EP/V034111/1. Publisher Copyright: {\textcopyright} 2021 IEEE. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; 27th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2021 ; Conference date: 28-06-2021 Through 30-06-2021",

year = "2021",

month = jul,

day = "26",

doi = "10.1109/IOLTS52814.2021.9486707",

language = "English",

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Saha, S, Adetomi, A, Zhai, X, Kasap, S, Ehsan, S, Arslan, T & McDonald-Maier, K 2021, EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems. in Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021., 9486707, Proceedings of International journal of software science and computational intelligence., IEEE, 27th IEEE International Symposium on On-Line Testing and Robust System Design, Virtual, Online, 28/06/21. https://doi.org/10.1109/IOLTS52814.2021.9486707

EnSuRe : Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems. / Saha, Sangeet; Adetomi, Adewale; Zhai, Xiaojun et al.

Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021. IEEE, 2021. 9486707 (Proceedings of International journal of software science and computational intelligence.).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - EnSuRe

T2 - 27th IEEE International Symposium on On-Line Testing and Robust System Design

AU - Saha, Sangeet

AU - Adetomi, Adewale

AU - Zhai, Xiaojun

AU - Kasap, Server

AU - Ehsan, Shoaib

AU - Arslan, Tughrul

AU - McDonald-Maier, Klaus

N1 - Conference code: 27

PY - 2021/7/26

Y1 - 2021/7/26

N2 - This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) executes real-time tasks on low power consuming primary processors to enhance the system accuracy by maintaining the deadline and (ii) provides reliability against a fixed number of transient faults by selectively executing backup tasks on high power consuming backup processor. Simulation results reveal that EnSuRe consumes nearly 25% less energy, compared to existing techniques, while satisfying the fault tolerance requirements. EnSuRe is also able to achieve 75% system accuracy with 50% system utilisation. Further, the obtained simulation outcomes are validated on benchmark tasks via a fault injection framework on Xilinx ZYNQ APSoC heterogeneous dual core platform.

AB - This paper proposes an energy efficient real-time scheduling strategy called EnSuRe, which (i) executes real-time tasks on low power consuming primary processors to enhance the system accuracy by maintaining the deadline and (ii) provides reliability against a fixed number of transient faults by selectively executing backup tasks on high power consuming backup processor. Simulation results reveal that EnSuRe consumes nearly 25% less energy, compared to existing techniques, while satisfying the fault tolerance requirements. EnSuRe is also able to achieve 75% system accuracy with 50% system utilisation. Further, the obtained simulation outcomes are validated on benchmark tasks via a fault injection framework on Xilinx ZYNQ APSoC heterogeneous dual core platform.

KW - Energy efficiency

KW - Fault-tolerant scheduling

KW - Heterogeneous processors

KW - Real-time systems

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T3 - Proceedings of International journal of software science and computational intelligence.

BT - Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021

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ER -

Saha S, Adetomi A, Zhai X, Kasap S, Ehsan S, Arslan T et al. EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems. In Proceedings - 2021 IEEE 27th International Symposium on On-Line Testing and Robust System Design, IOLTS 2021. IEEE. 2021. 9486707. (Proceedings of International journal of software science and computational intelligence.). doi: 10.1109/IOLTS52814.2021.9486707

EnSuRe: Energy Accuracy Aware Fault-tolerant Scheduling on Real-time Heterogeneous Systems

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