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Guide to Disaster-Resilient Communication Networks pp 353–377Cite as

Alert-Based Network Reconfiguration and Data Evacuation

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

Abstract

Network and service disruptions could have several causes ranging from software to hardware failures, due to malicious users and/or weather-related failures. While most of the failures are unpredictable, weather-based disasters such as tornadoes, hurricanes, wildfires or floods can be often predicted well in advance, which leaves enough time for operators to prepare their networks against the incoming threat. This chapter is devoted to explore recent research concepts related to the preparation of the network when such an alert associated with weather- or human-based incoming threats is an issue. We introduce techniques for data evacuation from data centres through traditional as well as satellite networks and discuss possible reconfiguration strategies of virtual software-defined networks in order to migrate the data, virtual machines and network resources to a disaster-safe area. We also provide a quantitative comparison of recovery approaches to select the most flexible strategy depending on the disaster’s time frame.

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Notes

  1. 1.

    We note here that depending on the technology, topology, communication end-points, computational resources, etc., the exact time threshold might vary. However, we expect that in transport network topologies it might be in this range for most connections.

  2. 2.

    \(\oplus \) denotes the exclusive or (XOR) operation (modulo 2 addition).

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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).

Author information

Authors and Affiliations

  1. Politecnico di Milano, Milan, Italy

    Massimo Tornatore & Omran Ayoub

  2. University of California, Davis, USA

    Sifat Ferdousi & Rafael Lourenco

  3. Technische Universität München, Chair of Communication Networks, Munich, Germany

    Péter Babarczi, Johannes Zerwas, Andreas Blenk, Markus Klügel & Wolfgang Kellerer

Authors
  1. Massimo Tornatore
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  2. Péter Babarczi
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  3. Omran Ayoub
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  4. Sifat Ferdousi
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  5. Rafael Lourenco
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  6. Johannes Zerwas
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  7. Andreas Blenk
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  8. Markus Klügel
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  9. Wolfgang Kellerer
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Corresponding author

Correspondence to Massimo Tornatore .

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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Tornatore, M. et al. (2020). Alert-Based Network Reconfiguration and Data Evacuation. 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_14

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  • DOI: https://doi.org/10.1007/978-3-030-44685-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-44684-0

  • Online ISBN: 978-3-030-44685-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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