Modelling communication network challenges for Future Internet resilience, survivability, and disruption tolerance: a simulation-based approach

Citation data:

Telecommunication Systems, ISSN: 1018-4864, Vol: 52, Issue: 2, Page: 751-766

Publication Year:
2013
Captures 45
Readers 45
Citations 47
Citation Indexes 47
Repository URL:
http://scholarsmine.mst.edu/ele_comeng_facwork/118
DOI:
10.1007/s11235-011-9575-4
Author(s):
Çetinkaya, Egemen K.; Broyles, Dan; Dandekar, Amit; Srinivasan, Sripriya; Sterbenz, James P. G.
Publisher(s):
Springer Nature; Springer-Verlag
Tags:
Engineering; Correlated Failures; Disruption Tolerance; Ns-3 Simulations; Performability; Physical Topology; Reliability and Availability; Survivability; Threats and Vulnerabilities; Failure Analysis; Internet; Models; Telecommunication Networks; Topology; Wireless Telecommunication Systems; Computer Simulation; Correlated Failures; Disruption Tolerance; Ns-3 Simulations; Performability; Physical Topology; Reliability and Availability; Survivability; Threats and Vulnerabilities; Failure Analysis; Internet; Models; Telecommunication Networks; Topology; Wireless Telecommunication Systems; Computer Simulation; Electrical and Computer Engineering
article description
Communication networks play a vital role in our daily lives and they have become a critical infrastructure. However, networks in general, and the Internet in particular face a number of challenges to normal operation, including attacks and large-scale disasters, as well as due to mobility and the characteristics of wireless communication channels. Understanding network challenges and their impact can help us to optimise existing networks and improve the design of future networks; therefore it is imperative to have a framework and methodology to study them. In this paper, we present a framework to evaluate network dependability and performability in the face of challenges. We use a simulation-based approach to analyse the effects of perturbations to normal operation of networks. We analyse Sprint logical and physical topologies, synthetically generated topologies, and present a wireless example to demonstrate a wide spectrum of challenges. This framework can simulate challenges on logical or physical topologies with realistic node coordinates using the ns-3 discrete event simulator. The framework models failures, which can be static or dynamic that can temporally and spatially evolve. We show that the impact of network challenges depends on the duration, the number of network elements in a challenge area, and the importance of the nodes in a challenge area. We also show the differences between modelling the logical router-level and physical topologies. Finally, we discuss mitigation strategies to alleviate the impact of challenges. © 2011 Springer Science+Business Media, LLC.