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On Centrality-Related Disaster Vulnerability of Network Regions. / Muhammad Iqbal, Farabi; Kuipers, Fernando.

2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM). IEEE, 2017. p. 1-6.

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

Harvard

Muhammad Iqbal, F & Kuipers, F 2017, On Centrality-Related Disaster Vulnerability of Network Regions. in 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM). IEEE, pp. 1-6, Resilient Networks Design and Modeling RDNM 2017, Alghero, Italy, 4/09/17. https://doi.org/10.1109/RNDM.2017.8093023

APA

Muhammad Iqbal, F., & Kuipers, F. (2017). On Centrality-Related Disaster Vulnerability of Network Regions. In 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM) (pp. 1-6). IEEE. https://doi.org/10.1109/RNDM.2017.8093023

Vancouver

Muhammad Iqbal F, Kuipers F. On Centrality-Related Disaster Vulnerability of Network Regions. In 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM). IEEE. 2017. p. 1-6 https://doi.org/10.1109/RNDM.2017.8093023

Author

Muhammad Iqbal, Farabi ; Kuipers, Fernando. / On Centrality-Related Disaster Vulnerability of Network Regions. 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM). IEEE, 2017. pp. 1-6

BibTeX

@inproceedings{4f21c9867995428cbef5fb0b51c3d1ab,
title = "On Centrality-Related Disaster Vulnerability of Network Regions",
abstract = "Networks are typically embedded in non-homogeneous areas and different parts/regions of the network may therefore be at risk from different types of disasters. This non-homogeneity leads to difficulties in protecting the network against (the risk of) disasters. Network operators need to be able to integrate predictions on possible future disaster events in the planning of their network operation. Especially the (future) availability of network links is crucial in configuring network connections, since the requested availability of network connections is stipulated in Service Level Agreements and must be satisfied, even under the threat of disasters. In this paper, we propose (1) a novel model to characterize disaster areas, with occurrences of each type of disaster represented by a temporal distribution (e.g., Poisson process), and (2) two metrics, namely a betweenness-centrality metric for network regions and an impact metric that indicates the magnitude of the threat posed by disasters within a network region during a given time period.",
keywords = "Measurement, Eathquakes, Planning, Hurricanes, Resilience, Shape, Tsunami",
author = "{Muhammad Iqbal}, Farabi and Fernando Kuipers",
year = "2017",
doi = "10.1109/RNDM.2017.8093023",
language = "English",
isbn = "978-1-5386-0672-8",
pages = "1--6",
booktitle = "2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM)",
publisher = "IEEE",
address = "United States",

}

RIS

TY - GEN

T1 - On Centrality-Related Disaster Vulnerability of Network Regions

AU - Muhammad Iqbal, Farabi

AU - Kuipers, Fernando

PY - 2017

Y1 - 2017

N2 - Networks are typically embedded in non-homogeneous areas and different parts/regions of the network may therefore be at risk from different types of disasters. This non-homogeneity leads to difficulties in protecting the network against (the risk of) disasters. Network operators need to be able to integrate predictions on possible future disaster events in the planning of their network operation. Especially the (future) availability of network links is crucial in configuring network connections, since the requested availability of network connections is stipulated in Service Level Agreements and must be satisfied, even under the threat of disasters. In this paper, we propose (1) a novel model to characterize disaster areas, with occurrences of each type of disaster represented by a temporal distribution (e.g., Poisson process), and (2) two metrics, namely a betweenness-centrality metric for network regions and an impact metric that indicates the magnitude of the threat posed by disasters within a network region during a given time period.

AB - Networks are typically embedded in non-homogeneous areas and different parts/regions of the network may therefore be at risk from different types of disasters. This non-homogeneity leads to difficulties in protecting the network against (the risk of) disasters. Network operators need to be able to integrate predictions on possible future disaster events in the planning of their network operation. Especially the (future) availability of network links is crucial in configuring network connections, since the requested availability of network connections is stipulated in Service Level Agreements and must be satisfied, even under the threat of disasters. In this paper, we propose (1) a novel model to characterize disaster areas, with occurrences of each type of disaster represented by a temporal distribution (e.g., Poisson process), and (2) two metrics, namely a betweenness-centrality metric for network regions and an impact metric that indicates the magnitude of the threat posed by disasters within a network region during a given time period.

KW - Measurement

KW - Eathquakes

KW - Planning

KW - Hurricanes

KW - Resilience

KW - Shape

KW - Tsunami

U2 - 10.1109/RNDM.2017.8093023

DO - 10.1109/RNDM.2017.8093023

M3 - Conference contribution

SN - 978-1-5386-0672-8

SP - 1

EP - 6

BT - 2017 9th International Workshop on Reliable Networks Design and Modeling (RNDM)

PB - IEEE

ER -

ID: 32870041