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Self-Healing Protocol: Repairing Schedules Online after Link Failures in Time-Triggered Networks

Fulltext:


Authors:

Francisco Pozo, Guillermo Rodriguez-Navas, Hans Hansson

Research group:

Formal Modelling and Analysis of Embedded Systems

Publication Type:

Report - MRTC

Publisher:

Mälardalen Real-Time Research Centre, Mälardalen University

ISRN:

MDH-MRTC-327/2019-1-SE

Abstract

The time-triggered paradigm is not adaptive, a static schedule determines the time-triggered communication and, then, any unpredicted change, like a link failure, might result in the loss of frames. Using spatial redundancy or recomputing a new schedule for replacement achieves fault tolerance only in moderate-size networks. With the increase in size and complexity of cyber-physical systems, more scalable and cost-efficient mechanisms are needed in order to complement conventional solutions. We propose a distributed Self-Healing Protocol that instead of recomputing the whole schedule, repairs the existent schedule at runtime. The basis of our protocol is the collaboration of nodes in the network to individually adjust their local schedules for rerouting the frames affected by link failures. Our protocol exhibits a high success rate compared to full rescheduling, as well as remarkable scalability; it repairs the schedule in milliseconds, whereas rescheduling requires minutes.

Bibtex

@techreport{Pozo5626,
author = {Francisco Pozo and Guillermo Rodriguez-Navas and Hans Hansson},
title = {Self-Healing Protocol: Repairing Schedules Online after Link Failures in Time-Triggered Networks},
publisher = {M{\"a}lardalen Real-Time Research Centre, M{\"a}lardalen University},
url = {http://www.es.mdu.se/publications/5626-}
}