Towards a realistic model for failure propagation in interdependent networks

Agostino Sturaro, Simone Silvestri, Mauro Conti, Sajal K. Das

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Modern networks are becoming increasingly interdependent. As a prominent example, the smart grid is an electrical grid controlled through a communications network, which in turn is powered by the electrical grid. Such interdependencies create new vulnerabilities and make these networks more susceptible to failures. In particular, failures can easily spread across these networks due to their interdependencies, possibly causing cascade effects with a devastating impact on their functionalities. In this paper we focus on the interdependence between the power grid and the communications network, and propose a novel realistic model, HINT (Heterogeneous Interdependent NeTworks), to study the evolution of cascading failures. Our model takes into account the heterogeneity of such networks as well as their complex interdependencies. We compare HINT with previously proposed models both on synthetic and real network topologies. Experimental results show that existing models oversimplify the failure evolution and network functionality requirements, resulting in severe underestimations of the cascading failures.

Original languageEnglish
Title of host publication2016 International Conference on Computing, Networking and Communications, ICNC 2016
ISBN (Electronic)9781467385794
DOIs
StatePublished - Mar 23 2016
EventInternational Conference on Computing, Networking and Communications, ICNC 2016 - Kauai, United States
Duration: Feb 15 2016Feb 18 2016

Publication series

Name2016 International Conference on Computing, Networking and Communications, ICNC 2016

Conference

ConferenceInternational Conference on Computing, Networking and Communications, ICNC 2016
Country/TerritoryUnited States
CityKauai
Period2/15/162/18/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

ASJC Scopus subject areas

  • Computer Science Applications
  • Computer Networks and Communications
  • Social Sciences (miscellaneous)

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