How to Model and Enumerate Geographically Correlated Failure Events in Communication Networks.

Balázs Vass, János Tapolcai, David Hay, Jorik Oostenbrink, Fernando A. Kuipers

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Several works shed light on the vulnerability of networks against regional failures, which are failures of multiple pieces of equipment in a geographical region as a result of a natural or human-made disaster. This chapter overviews how this information can be added to the existing network protocols through defining shared risk link groups (SRLGs) and probabilistic SRLGs (PSRLGs). The output of this chapter can be the input of later chapters to design and operate the networks to enhance the preparedness against disasters and regional failures in general. In particular, we are focusing on the state-of-the-art algorithmic approaches for generating lists of (P)SRLGs of the communication networks protecting different sets of disasters.
Original languageEnglish
Title of host publicationGuide to Disaster-Resilient Communication Networks
PublisherSpringer Nature Switzerland AG
Pages87-115
Number of pages29
ISBN (Electronic)978-3-030-44685-7
ISBN (Print)978-3-030-44684-0, 978-3-030-44687-1
DOIs
StatePublished - 2020

Publication series

Name Computer Communications and Networks
PublisherSpringer
ISSN (Print)1617-7975
ISSN (Electronic)2197-8433

Bibliographical note

This chapter is based on work from COST Action CA15127 (“Resilient communication services protecting end-user applications from disaster-based failures—RECODIS”) supported by European Cooperation in Science and Technology (COST). Part of this work is supported by the Hungarian Scientific Research Fund (grant No. OTKA K124171, K128062), by the BME-Artificial Intelligence FIKP grant of EMMI (BME FIKP-MI/SC), and the HUJI Cyber Security Center together with the Israel National Cyber Directorate in the Prime Minister’s Office.

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