4.3 Article

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

Journal

TELECOMMUNICATION SYSTEMS
Volume 52, Issue 2, Pages 751-766

Publisher

SPRINGER
DOI: 10.1007/s11235-011-9575-4

Keywords

Internet resilience; Survivability; Disruption tolerance; Dependability and performability; Reliability and availability; ns-3 simulation; Failure analysis; Challenge modeling; Threats and vulnerabilities; Network logical and physical topology; Correlated failures

Funding

  1. NSF FIND (Future Internet Design) Program [CNS-0626918]
  2. NSF [CNS-1050226]
  3. EU FP7 FIRE Programme ResumeNet project [224619]

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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.

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