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TOLERANCER: A Fault Tolerance Approach for Cloud Manufacturing Environments

Fulltext:


Authors:

Auday Al-Dulaimy, Christian Sicari , Alessandro Papadopoulos, Antonino Galletta , Massimo Villari , Mohammad Ashjaei

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

International Conference on Emerging Technologies and Factory

DOI:

10.1109/ETFA52439.2022.9921606

Abstract

The paper presents an approach to solve the software and hardware related failures in edge-cloud environments, more precisely, in cloud manufacturing environments. The proposed approach, called TOLERANCER, is composed of distributed components that continuously interact in a peer to peer fashion. Such interaction aims to detect stress situations or node failures, and accordingly, TOLERANCER makes decisions to avoid or solve any potential system failures. The efficacy of the proposed approach is validated through a set of experiments, and the performance evaluation shows that it responds effectively to different faults scenarios.

Bibtex

@inproceedings{Al-Dulaimy6523,
author = {Auday Al-Dulaimy and Christian Sicari and Alessandro Papadopoulos and Antonino Galletta and Massimo Villari and Mohammad Ashjaei},
title = {TOLERANCER: A Fault Tolerance Approach for Cloud Manufacturing Environments},
pages = {1--8},
month = {September},
year = {2022},
booktitle = {International Conference on Emerging Technologies and Factory},
url = {http://www.es.mdu.se/publications/6523-}
}