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Fault Management Framework and Multi-layer Recovery Methodology for Resilient System

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

6th International Conference on System Reliability and Safety

Publisher:

IEEE


Abstract

Fault management is a key function to guarantee the quality of the service. Research has done a lot to improve fault supervision, and investigation is ongoing in fault prediction, thanks to the potentials of artificial intelligence and machine learning. In this study, we propose a fault management framework that puts an emphasis on fault recovery: a framework developed on multilayer function and a fault recovery methodology distributed over several technological layers. The basic principle of our proposal is that the system’s complexity exposes it to a higher probability of temporary error. Newfound attention to the fault recovery phase is the key to keeping the service’s quality high and saving maintenance costs by decreasing the return rate.

Bibtex

@inproceedings{Vitucci6624,
author = {Carlo Vitucci and Daniel Sundmark and Marcus J{\"a}gemar and Jakob Danielsson and Alf Larsson and Thomas Nolte},
title = {Fault Management Framework and Multi-layer Recovery Methodology for Resilient System},
isbn = {9781665470919},
editor = {IEEE },
month = {February},
year = {2023},
booktitle = {6th International Conference on System Reliability and Safety},
publisher = {IEEE},
url = {http://www.es.mdu.se/publications/6624-}
}