Network Resiliency against Earthquakes

Alessandro Valentini, Balázs Vass, Jorik Oostenbrink, Levente Csák, Fernando Kuipers, Bruno Pace, David Hay, János Tapolcai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Guaranteeing a high availability of network services is a crucial part of network management. In this study, we show how to compute the availability of network services under earthquakes, by using empirical data. We take a multi-disciplinary approach and create an earthquake model based on seismological research and historical data. We then show how to integrate this empirical disaster model into existing network resiliency models to obtain the vulnerability and availability of a network under earthquakes. While previous studies have applied their models to ground shaking hazard models or earthquake scenarios, we compute (1) earthquake activity rates and (2) a relation between magnitude and disaster area, and use both as input data for our modeling. This approach is more in line with existing network resiliency models: it provides better information on the correlation between link failures than ground shaking hazard models and a more comprehensive view than a fixed set of scenarios.

Original languageAmerican English
Title of host publicationProceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019
EditorsGeorgios Ellinas, Jacek Rak, Roza Goscien
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728146980
DOIs
StatePublished - Oct 2019
Event11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019 - Nicosia, Cyprus
Duration: 14 Oct 201916 Oct 2019

Publication series

NameProceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019

Conference

Conference11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019
Country/TerritoryCyprus
CityNicosia
Period14/10/1916/10/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

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