Network Resiliency Against Earthquakes

Alessandro Valentini; Balazs Vass; Jorik Oostenbrink; Levente Csak; Fernando Kuipers; Bruno Pace; David Hay; Janos Tapolcai

doi:10.1109/RNDM48015.2019.8949088

Network Resiliency Against Earthquakes

Alessandro Valentini, Balazs Vass, Jorik Oostenbrink, Levente Csak, Fernando Kuipers, Bruno Pace, David Hay, Janos Tapolcai

Embedded Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

12 Citations (Scopus)

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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 language	English
Title of host publication	Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019
Editors	Georgios Ellinas, Jacek Rak, Roza Goscien
Number of pages	7
ISBN (Electronic)	9781728146980
DOIs	https://doi.org/10.1109/RNDM48015.2019.8949088
Publication status	Published - 2019
Event	RNDM 2019: 11th International Workshop on Resilient Networks Design and Modeling - Nicosia, Cyprus Duration: 14 Oct 2019 → 16 Oct 2019 Conference number: 11

Publication series

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

Conference

Conference	RNDM 2019: 11th International Workshop on Resilient Networks Design and Modeling
Abbreviated title	RNDM 2019
Country/Territory	Cyprus
City	Nicosia
Period	14/10/19 → 16/10/19

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10.1109/RNDM48015.2019.8949088

RNDM2019Accepted author manuscript, 4.32 MB

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Valentini, A., Vass, B., Oostenbrink, J., Csak, L., Kuipers, F., Pace, B., Hay, D., & Tapolcai, J. (2019). Network Resiliency Against Earthquakes. In G. Ellinas, J. Rak, & R. Goscien (Eds.), Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019 Article 8949088 (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019). https://doi.org/10.1109/RNDM48015.2019.8949088

Valentini, Alessandro ; Vass, Balazs ; Oostenbrink, Jorik et al. / Network Resiliency Against Earthquakes. Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019. editor / Georgios Ellinas ; Jacek Rak ; Roza Goscien. 2019. (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019).

@inproceedings{0354cdcd8bf04b73a3ceb7bb7f4e8cfd,

title = "Network Resiliency Against Earthquakes",

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. ",

author = "Alessandro Valentini and Balazs Vass and Jorik Oostenbrink and Levente Csak and Fernando Kuipers and Bruno Pace and David Hay and Janos Tapolcai",

year = "2019",

doi = "10.1109/RNDM48015.2019.8949088",

language = "English",

series = "Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019",

editor = "Georgios Ellinas and Jacek Rak and Roza Goscien",

booktitle = "Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019",

note = "RNDM 2019: 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019 ; Conference date: 14-10-2019 Through 16-10-2019",

}

Valentini, A, Vass, B, Oostenbrink, J, Csak, L, Kuipers, F, Pace, B, Hay, D & Tapolcai, J 2019, Network Resiliency Against Earthquakes. in G Ellinas, J Rak & R Goscien (eds), Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019., 8949088, Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019, RNDM 2019: 11th International Workshop on Resilient Networks Design and Modeling, Nicosia, Cyprus, 14/10/19. https://doi.org/10.1109/RNDM48015.2019.8949088

Network Resiliency Against Earthquakes. / Valentini, Alessandro; Vass, Balazs; Oostenbrink, Jorik et al.
Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019. ed. / Georgios Ellinas; Jacek Rak; Roza Goscien. 2019. 8949088 (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Network Resiliency Against Earthquakes

AU - Valentini, Alessandro

AU - Vass, Balazs

AU - Oostenbrink, Jorik

AU - Csak, Levente

AU - Kuipers, Fernando

AU - Pace, Bruno

AU - Hay, David

AU - Tapolcai, Janos

N1 - Conference code: 11

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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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DO - 10.1109/RNDM48015.2019.8949088

M3 - Conference contribution

T3 - Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019

BT - Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019

A2 - Ellinas, Georgios

A2 - Rak, Jacek

A2 - Goscien, Roza

T2 - RNDM 2019: 11th International Workshop on Resilient Networks Design and Modeling

Y2 - 14 October 2019 through 16 October 2019

ER -

Valentini A, Vass B, Oostenbrink J, Csak L, Kuipers F, Pace B et al. Network Resiliency Against Earthquakes. In Ellinas G, Rak J, Goscien R, editors, Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019. 2019. 8949088. (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019). doi: 10.1109/RNDM48015.2019.8949088

Network Resiliency Against Earthquakes

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