Computing the Vulnerability of Communication Networks to Large-Scale Disasters

Master Thesis (2017)
Author(s)

J. Oostenbrink (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

F. A. Kuipers – Mentor

Koen Langendoen – Graduation committee member

Matthijs T. J. Spaan – Graduation committee member

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2017 Jorik Oostenbrink
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 Jorik Oostenbrink
Graduation Date
31-08-2017
Awarding Institution
Delft University of Technology
Programme
['Computer Science']
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

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Abstract

Our society is becoming more and more dependent on communication networks. Thus, network operators and designers need to properly prepare themselves against large-scale disasters that could take down a significant amount of networking hardware within a large area.

In this work, we consider the vulnerability of a network to disasters, and we propose an efficient method to compute the distribution of a network performance measure, based on a finite set of disaster areas and occurrence probabilities. Compared to other approaches, our approach is more accurate and gives more information about the vulnerability of the network.

Based on our approach, we have implemented a tool to help visualize the vulnerability of a network to disasters.

We give general methods to obtain finite disaster sets from empirical disaster data and showcase these methods on actual earthquake and hurricane datasets.

Our approach is demonstrated by analyzing the vulnerability of a variety of network topologies to large-scale disasters.

Files

Report_v2.pdf
(pdf | 42 Mb)
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