Network Resiliency Against Earthquakes

Conference paper (2019)

Authors

Alessandro Valentini G. d'Annunzio University of Chieti Scalo
Balazs Vass Budapest University of Technology and Economics (BME)
J. Oostenbrink Embedded Systems - EEMCS
Levente Csak Budapest University of Technology and Economics (BME)
F.A. Kuipers Embedded Systems - EEMCS
Bruno Pace G. d'Annunzio University of Chieti Scalo
David Hay The Hebrew University of Jerusalem
János Tapolcai Budapest University of Technology and Economics (BME)
Research Group
Embedded Systems (EEMCS) (TU Delft)
Copyright: © 2019 Alessandro Valentini, Balazs Vass, J. Oostenbrink, Levente Csak, F.A. Kuipers, Bruno Pace, David Hay, Janos Tapolcai
DOI: https://doi.org/10.1109/RNDM48015.2019.8949088
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Published Date

2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Embedded Systems

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.

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RNDM2019.pdf
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