Computing the Vulnerability of Communication Networks to Large-Scale Disasters

Master thesis (2017)

Authors

J. Oostenbrink Electrical Engineering, Mathematics and Computer Science

Contributors

F.A. Kuipers (mentor)
K.G. Langendoen (graduation committee member)
M.T.J. Spaan (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2017 Jorik Oostenbrink
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Published Date

31-08-2017

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

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)