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Enhancing Network Service Survivability in Large-Scale Failure Scenarios

  • Izaddoost, Alireza (Faculty of Business and Information Technology, University of Ontario Institute of Technology) ;
  • Heydari, Shahram Shah (Faculty of Business and Information Technology, University of Ontario Institute of Technology)
  • Received : 2013.07.02
  • Accepted : 2014.03.23
  • Published : 2014.10.31

Abstract

Large-scale failures resulting from natural disasters or intentional attacks are now causing serious concerns for communication network infrastructure, as the impact of large-scale network connection disruptions may cause significant costs for service providers and subscribers. In this paper, we propose a new framework for the analysis and prevention of network service disruptions in large-scale failure scenarios. We build dynamic deterministic and probabilistic models to capture the impact of regional failures as they evolve with time. A probabilistic failure model is proposed based on wave energy behaviour. Then, we develop a novel approach for preventive protection of the network in such probabilistic large-scale failure scenarios. We show that our method significantly improves uninterrupted delivery of data in the network and reduces service disruption times in large-scale regional failure scenarios.

Keywords

Acknowledgement

Supported by : Natural Sciences and Engineering Research Council of Canada (NSERC)

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