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Functional Metrics to Evaluate Network Vulnerability to Disasters

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Guide to Disaster-Resilient Communication Networks

Part of the book series: Computer Communications and Networks ((CCN))

Abstract

Disasters can cause, intentionally or unintentionally, the failure of several network components at the same time. A vast body of literature focuses on understanding the impact of disasters on the network infrastructure to enable the design of more robust networks. However, these multiple failures also affect the applications running over the network infrastructure. Even when the impact of a disaster on the structural performance indicators is insignificant, the functional implications can be substantial. More importantly, a small degradation in network performance can result in severe disruptions of overlay applications, or even completely prevent their proper functioning. Therefore, it is essential to analyze the impact of a disaster on the functional aspects of the network, i.e. the Quality of Service (QoS) offered to the applications and the Quality of Experience (QoE) perceived by the users. In this chapter, we review the functional metrics for evaluating the impact of disasters on applications and users. We specify relevant packet- and network-based functional metrics as well as perceived subjective metrics, and demonstrate the impact of disasters on QoS and QoE metrics in a case study.

Online material is available at https://github.com/carlosnatalino/chapter-functional-metrics.

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Notes

  1. 1.

    https://medium.com/netflix-techblog/per-title-encode-optimization-7e99442b62a2.

  2. 2.

    The page http://www.movable-type.co.uk/scripts/latlong.html describes the appropriate method to compute the distance.

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Acknowledgements

This chapter is based on work from COST Action CA15127 (“Resilient communication services protecting end-user applications from disaster-based failures—RECODIS”) supported by COST (European Cooperation in Science and Technology).

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Authors and Affiliations

  1. Chalmers University of Technology, Gothenburg, Sweden

    Carlos Natalino, Lena Wosinska & Marija Furdek

  2. Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia

    Sasko Ristov

  3. University of Innsbruck, Innsbruck, Austria

    Sasko Ristov

Authors
  1. Carlos Natalino
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  2. Sasko Ristov
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  3. Lena Wosinska
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  4. Marija Furdek
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Corresponding author

Correspondence to Carlos Natalino .

Editor information

Editors and Affiliations

  1. Department of Computer Communications, Gdańsk University of Technology, Gdańsk, Poland

    Jacek Rak

  2. School of Computing and Communications, Lancaster University, Lancaster, UK

    David Hutchison

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Natalino, C., Ristov, S., Wosinska, L., Furdek, M. (2020). Functional Metrics to Evaluate Network Vulnerability to Disasters. In: Rak, J., Hutchison, D. (eds) Guide to Disaster-Resilient Communication Networks. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-44685-7_2

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  • DOI: https://doi.org/10.1007/978-3-030-44685-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44684-0

  • Online ISBN: 978-3-030-44685-7

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