Network Resiliency Against Earthquakes

Conference Paper (2019)
Author(s)

Alessandro Valentini

Balazs Vass (Budapest University of Technology and Economics)

J. Oostenbrink (TU Delft - Embedded Systems)

Levente Csak (Budapest University of Technology and Economics)

FA Kuipers (TU Delft - Embedded Systems)

Bruno Pace

David Hay (The Hebrew University of Jerusalem)

Janos Tapolcai (Budapest University of Technology and Economics)

Research Group
Embedded Systems
Copyright
© 2019 Alessandro Valentini, Balazs Vass, J. Oostenbrink, Levente Csak, F.A. Kuipers, Bruno Pace, David Hay, Janos Tapolcai
DOI related publication
https://doi.org/10.1109/RNDM48015.2019.8949088
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 Alessandro Valentini, Balazs Vass, J. Oostenbrink, Levente Csak, F.A. Kuipers, Bruno Pace, David Hay, Janos Tapolcai
Research Group
Embedded Systems
ISBN (electronic)
9781728146980
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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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