Network Resiliency against Earthquakes

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

doi:10.1109/RNDM48015.2019.8949088

Network Resiliency against Earthquakes

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

The Rachel and Selim Benin School of Engineering and Computer Science

The Hebrew University of Jerusalem

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728146980
DOIs	https://doi.org/10.1109/RNDM48015.2019.8949088
State	Published - Oct 2019
Event	11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019 - Nicosia, Cyprus Duration: 14 Oct 2019 → 16 Oct 2019

Publication series

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

Conference

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

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Hardware and Architecture
Modelling and Simulation
Information Systems and Management
Safety, Risk, Reliability and Quality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/RNDM48015.2019.8949088

Cite this

Valentini, A., Vass, B., Oostenbrink, J., Csák, 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). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RNDM48015.2019.8949088

Valentini, Alessandro ; Vass, Balázs ; 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. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019).

@inproceedings{4d4885fdfae04f228724dfdd872c14a6,

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 Bal{\'a}zs Vass and Jorik Oostenbrink and Levente Cs{\'a}k and Fernando Kuipers and Bruno Pace and David Hay and J{\'a}nos Tapolcai",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019 ; Conference date: 14-10-2019 Through 16-10-2019",

year = "2019",

month = oct,

doi = "10.1109/RNDM48015.2019.8949088",

language = "الإنجليزيّة",

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

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

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

address = "الولايات المتّحدة",

}

Valentini, A, Vass, B, Oostenbrink, J, Csák, 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, Institute of Electrical and Electronics Engineers Inc., 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019, Nicosia, Cyprus, 14/10/19. https://doi.org/10.1109/RNDM48015.2019.8949088

Network Resiliency against Earthquakes. / Valentini, Alessandro; Vass, Balázs; 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. Institute of Electrical and Electronics Engineers Inc., 2019. 8949088 (Proceedings of 2019 11th International Workshop on Resilient Networks Design and Modeling, RNDM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Network Resiliency against Earthquakes

AU - Valentini, Alessandro

AU - Vass, Balázs

AU - Oostenbrink, Jorik

AU - Csák, Levente

AU - Kuipers, Fernando

AU - Pace, Bruno

AU - Hay, David

AU - Tapolcai, János

PY - 2019/10

Y1 - 2019/10

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.

UR - http://www.scopus.com/inward/record.url?scp=85078841781&partnerID=8YFLogxK

U2 - 10.1109/RNDM48015.2019.8949088

DO - 10.1109/RNDM48015.2019.8949088

M3 - منشور من مؤتمر

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

PB - Institute of Electrical and Electronics Engineers Inc.

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

Y2 - 14 October 2019 through 16 October 2019

ER -

Valentini A, Vass B, Oostenbrink J, Csák 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. Institute of Electrical and Electronics Engineers Inc. 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

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this