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Fault Tolerance in Cloud Manufacturing: An Overview

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Mobile Computing, Applications, and Services (MobiCASE 2022)

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Abstract

Utilizing edge and cloud computing to empower the profitability of manufacturing is drastically increasing in modern industries. As a result of that, several challenges have raised over the years that essentially require urgent attention. Among these, coping with different faults in edge and cloud computing and recovering from permanent and temporary faults became prominent issues to be solved. In this paper, we focus on the challenges of applying fault tolerance techniques on edge and cloud computing in the context of manufacturing and we investigate the current state of the proposed approaches by categorizing them into several groups. Moreover, we identify critical gaps in the research domain as open research directions.

This research was partially sponsored by the Knowledge Foundation (KKS) under the SACSys project, and by the research center XPRES (Excellence in Production Research) - a strategic research area in Sweden.

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Authors and Affiliations

  1. Mälardalen University, Västerås, Sweden

    Auday Al-Dulaimy, Mohammad Ashjaei, Moris Behnam, Thomas Nolte & Alessandro V. Papadopoulos

  2. Dalarna University, Falun, Sweden

    Auday Al-Dulaimy

Authors
  1. Auday Al-Dulaimy
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  2. Mohammad Ashjaei
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  3. Moris Behnam
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  4. Thomas Nolte
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  5. Alessandro V. Papadopoulos
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Correspondence to Auday Al-Dulaimy .

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Editors and Affiliations

  1. Karlstad University, Karlstad, Sweden

    Javid Taheri

  2. University of Messina, Messina, Italy

    Massimo Villari

  3. University of Messina, Messina, Italy

    Antonino Galletta

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Al-Dulaimy, A., Ashjaei, M., Behnam, M., Nolte, T., Papadopoulos, A.V. (2023). Fault Tolerance in Cloud Manufacturing: An Overview. In: Taheri, J., Villari, M., Galletta, A. (eds) Mobile Computing, Applications, and Services. MobiCASE 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 495. Springer, Cham. https://doi.org/10.1007/978-3-031-31891-7_7

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  • DOI: https://doi.org/10.1007/978-3-031-31891-7_7

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