• DocumentCode
    2369493
  • Title

    Dependability assessment of virtualized networks

  • Author

    Fernandes, Stenio ; Tavares, Eduardo ; Santos, Marcelo ; Lira, Victor ; Maciel, Paulo

  • Author_Institution
    Center of Inf., Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2711
  • Lastpage
    2716
  • Abstract
    One of the key characteristics of virtual networks (VN) is their intrinsic dynamical aspects. VNs allow network operators to have on-demand negotiation of a variety of services. Risks are inherent to virtualized infrastructures since the underlying physical network components are failure-prone. Therefore evaluation and analysis of risks in VNs, from assessment of dependability attributes, are of paramount importance for accurate management and control tasks. This paper proposes and evaluates a method to assess dependability in virtualized network environments. Through the use of Reliability Block Diagram (RBD) and Stochastic Petri Nets (SPN), we provide a first look at risks in network virtualization by means of dependability modeling and analysis. Our methodology allows the networking research community to develop new heuristics when dealing with resource allocation in VNs, while taking into account dependability attributes.
  • Keywords
    Petri nets; computer network reliability; resource allocation; stochastic processes; virtualisation; RBD; SPN; computer networks; dependability modeling; networking research community; on-demand negotiation; physical network components; reliability block diagram; resource allocation; stochastic Petri nets; virtualized infrastructures; virtualized network dependability assessment; virtualized network environments; Next generation networking; Computer Networks; Dependability Analysis; Network Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6363992
  • Filename
    6363992