• DocumentCode
    1912734
  • Title

    Effective Data Dissemination for Large-Scale Complex Critical Infrastructures

  • Author

    Esposito, Christian ; Martino, C.D. ; Cinque, Marcello ; Cotroneo, Domenico

  • Author_Institution
    Dipt. di Inf. e Sist. (DIS), Univ. degli studi di Napoli Federico II, Naples, Italy
  • fYear
    2010
  • fDate
    18-25 July 2010
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    Large-scale complex infrastructures are emerging as new computing platforms for the federation of world-wide mission critical systems over the Internet. However, standard approaches to data dissemination are still not adequate to the scale of these systems. The best-effort delivery guarantees of the Internet and the occurrence of node failures may compromise the correct and timely delivery of data, and hence the mission of the overall infrastructure. This paper presents a peer-to-peer approach for resilient and scalable data dissemination over large-scale complex critical infrastructures. The approach is based on the adoption of epidemic dissemination algorithms between peer groups, combined with the semi-active replication of group leaders. The effectiveness of the approach is shown by means of extensive simulation experiments, based on Stochastic Activity Networks. Results demonstrate that the use of epidemic algorithms over peer-to-peer overlays can achieve a 5 nines (99.999%) resiliency level, compared to the 3 nines (99.9%) of the standard solution.
  • Keywords
    data handling; safety-critical software; software architecture; computing platforms; data dissemination; effective data dissemination; epidemic dissemination; large scale complex critical infrastructures; stochastic activity networks; world wide mission critical systems; Internet; Lead; Organizations; Peer to peer computing; Protocols; Quality of service; Scalability; Availability Assessment; Peer-to-Peer Systems; Petri Net; Publish/Subscribe Middleware;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependability (DEPEND), 2010 Third International Conference on
  • Conference_Location
    Venice
  • Print_ISBN
    978-1-4244-7530-8
  • Type

    conf

  • DOI
    10.1109/DEPEND.2010.18
  • Filename
    5562847