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The Pathology of Failures in IoT Systems

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Computational Science and Its Applications – ICCSA 2021 (ICCSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12957))

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Abstract

The presence of faults is inevitable in the Internet of Things (IoT) systems. Dependability in these systems is challenging due to the increasing level of dynamicity, heterogeneity, and complexity. IoT connects anything, anytime, and everywhere, introducing a complex relationship of interdependence, generating an increase in the susceptibility of the propagation of failures. The purpose of this study is to propose a pathology of failure in IoT Systems, exploring and characterizing faults, errors, failures, and their effects. This study investigates and classifies the source of faults, defines a taxonomy of the types of faults prone to happen, and defines the failure propagation model. As a result, the pathology establishes a common reference for fault, errors, and failures to be used by researchers and practitioners to improve tools for fault detection, fault diagnosis, fault tolerance, and fault handling in IoT Systems. This paper also proposes a failure propagation model for IoT systems that identify different combinations, paths, and fault-failure propagation effects.

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Author information

Authors and Affiliations

  1. Federal Institute of Rio Grande do Norte, Natal, Brazil

    Mário Melo

  2. Federal University of Rio Grande do Norte, Natal, Brazil

    Gibeon Aquino

Authors
  1. Mário Melo
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  2. Gibeon Aquino
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Corresponding author

Correspondence to Mário Melo .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. University of Cagliari, Cagliari, Italy

    Chiara Garau

  5. University of Cagliari, Cagliari, Italy

    Ivan Blečić

  6. Monash University, Clayton, VIC, Australia

    David Taniar

  7. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  8. University of Minho, Braga, Portugal

    Ana Maria A. C. Rocha

  9. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

  10. Polytechnic University of Bari, Bari, Italy

    Carmelo Maria Torre

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Melo, M., Aquino, G. (2021). The Pathology of Failures in IoT Systems. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science(), vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_33

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  • DOI: https://doi.org/10.1007/978-3-030-87013-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-87012-6

  • Online ISBN: 978-3-030-87013-3

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