NDLI: The resilience of WDM networks to probabilistic geographical failures

Content Provider	IEEE Xplore Digital Library
Author	Agarwal, P.K. Efrat, A. Ganjugunte, S. Hay, D. Sankararaman, S. Zussman, G.
Copyright Year	2011
Description	Author affiliation: Computer Science, Duke University, USA (Agarwal, P.K.; Ganjugunte, S.) \|\| Computer Science, University of Arizona, USA (Efrat, A.; Sankararaman, S.) \|\| Electrical Engineering, Columbia University, USA (Zussman, G.) \|\| Engineering and Computer Science, Hebrew University, Israel (Hay, D.)
Abstract	Telecommunications networks, and in particular optical WDM networks, are vulnerable to large-scale failures of their physical infrastructure, resulting from physical attacks (such as an Electromagnetic Pulse attack) or natural disasters (such as solar flares, earthquakes, and floods). Such events happen at specific geographical locations and disrupt specific parts of the network but their effects are not deterministic. Therefore, we provide a unified framework to model the network vulnerability when the event has a probabilistic nature, defined by an arbitrary probability density function. Our framework captures scenarios with a number of simultaneous attacks, in which network components consist of several dependent subcomponents, and in which either a 1+1 or a 1∶1 protection plan is in place. We use computational geometric tools to provide efficient algorithms to identify vulnerable points within the network under various metrics. Then, we obtain numerical results for specific backbone networks, thereby demonstrating the applicability of our algorithms to real-world scenarios. Our novel approach allows for identifying locations which require additional protection efforts (e.g., equipment shielding). Overall, the paper demonstrates that using computational geometric techniques can significantly contribute to our understanding of network resilience.
Starting Page	1521
Ending Page	1529
File Size	1755167
Page Count	9
File Format	PDF
ISBN	9781424499199
ISSN	0743166X
e-ISBN	9781424499212
DOI	10.1109/INFCOM.2011.5934942
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Compounds Complexity theory Optical fiber networks Probabilistic logic Resilience Approximation methods Loss measurement optical networks Network survivability geographic networks network protection computational geometry
Content Type	Text
Resource Type	Article
Subject	Computer Science Electrical and Electronic Engineering

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