The University of Southampton
University of Southampton Institutional Repository

A framework and protocol for dynamic management of fault tolerant systems in harsh environments

A framework and protocol for dynamic management of fault tolerant systems in harsh environments
A framework and protocol for dynamic management of fault tolerant systems in harsh environments
Robots can be used to deal with hazardous materials like nuclear waste. Unfortunately, electronic components are also susceptible to radiation effects. Current proposals to tackle this issue solve only parts of the problems for the specific scenarios and the specific types of radiation. At the same time, current computational devices should provide run-time capabilities to monitor and adapt to different situations. In this paper, we target a possible solution presenting a framework which provides the flexibility to employ fault-tolerant techniques on distributed systems. As proof of concept, we target a fault-tolerant technique to extend the operating time of systems in harsh environments. Results show a very low overhead, of few microseconds, to execute a majority voter with replicated tasks
fault tolerance, spatial redundancy, software redundancy, SEE, SEU, soft errors, TID effects
1942-9398
IEEE
Wachter, Eduardo Weber
bdacc537-b1ac-4241-a6fc-b67f1e6a6ce8
Kasap, Server
e49310e0-96aa-42e1-8259-6ad34cc1b025
Zhai, Xiaojun
93ee3dbb-e10e-472b-adec-78acfcd4cbc7
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
McDonald-Maier, Klaus
4429a771-384b-4cc6-8d45-1813c3792939
Wachter, Eduardo Weber
bdacc537-b1ac-4241-a6fc-b67f1e6a6ce8
Kasap, Server
e49310e0-96aa-42e1-8259-6ad34cc1b025
Zhai, Xiaojun
93ee3dbb-e10e-472b-adec-78acfcd4cbc7
Ehsan, Shoaib
ae8922f0-dbe0-4b22-8474-98e84d852de7
McDonald-Maier, Klaus
4429a771-384b-4cc6-8d45-1813c3792939

Wachter, Eduardo Weber, Kasap, Server, Zhai, Xiaojun, Ehsan, Shoaib and McDonald-Maier, Klaus (2020) A framework and protocol for dynamic management of fault tolerant systems in harsh environments. In 2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design. IEEE.. (doi:10.1109/IOLTS50870.2020.9159752).

Record type: Conference or Workshop Item (Paper)

Abstract

Robots can be used to deal with hazardous materials like nuclear waste. Unfortunately, electronic components are also susceptible to radiation effects. Current proposals to tackle this issue solve only parts of the problems for the specific scenarios and the specific types of radiation. At the same time, current computational devices should provide run-time capabilities to monitor and adapt to different situations. In this paper, we target a possible solution presenting a framework which provides the flexibility to employ fault-tolerant techniques on distributed systems. As proof of concept, we target a fault-tolerant technique to extend the operating time of systems in harsh environments. Results show a very low overhead, of few microseconds, to execute a majority voter with replicated tasks

This record has no associated files available for download.

More information

Published date: 18 July 2020
Venue - Dates: 2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design, , Napoli, Italy, 2020-07-13 - 2020-07-15
Keywords: fault tolerance, spatial redundancy, software redundancy, SEE, SEU, soft errors, TID effects

Identifiers

Local EPrints ID: 472637
URI: http://eprints.soton.ac.uk/id/eprint/472637
ISSN: 1942-9398
PURE UUID: 1b1729cc-4b9c-481c-aca6-28d7b39f607f
ORCID for Shoaib Ehsan: ORCID iD orcid.org/0000-0001-9631-1898

Catalogue record

Date deposited: 12 Dec 2022 18:04
Last modified: 17 Mar 2024 04:16

Export record

Altmetrics

Contributors

Author: Eduardo Weber Wachter
Author: Server Kasap
Author: Xiaojun Zhai
Author: Shoaib Ehsan ORCID iD
Author: Klaus McDonald-Maier

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×