A Framework and Protocol for Dynamic Management of Fault Tolerant Systems in Harsh Environments

Eduardo Weber Wachter, Server Kasap, Xiaojun Zhai, Shoaib Ehsan, Klaus McDonald-Maier

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

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.
Original languageEnglish
Title of host publication2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design (IOLTS)
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-7281-8187-5
DOIs
Publication statusPublished - 5 Aug 2020
Externally publishedYes
Event2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design - Virtual Event, Napoli, Italy
Duration: 13 Jul 202015 Jul 2020
Conference number: 26
http://tima.univ-grenoble-alpes.fr/conferences/iolts/iolts20/

Conference

Conference2020 IEEE 26th International Symposium on On-Line Testing and Robust System Design
Abbreviated titleIOLTS
CountryItaly
CityNapoli
Period13/07/2015/07/20
Internet address

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  • Cite this

    Wachter, E. W., Kasap, S., Zhai, X., Ehsan, S., & McDonald-Maier, K. (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 (IOLTS) IEEE. https://doi.org/10.1109/iolts50870.2020.9159752