• DocumentCode
    2923142
  • Title

    A new symbolic approach for network reliability analysis

  • Author

    Beccuti, Marco ; Bobbio, Andrea ; Franceschinis, Giuliana ; Terruggia, Roberta

  • Author_Institution
    Dipt. di Inf., Univ. di Torino, Torino, Italy
  • fYear
    2012
  • fDate
    25-28 June 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    In this paper we propose an improved BDD approach to the network reliability analysis, that allows the user to compute an exact solution or an approximation based on reliability bounds when network complexity makes the former solution practically impossible. To this purpose, a new algorithm for encoding the connectivity graph on a Binary Decision Diagram (BDD) has been developed; it reduces the computation memory peak with respect to previous approaches based on the same type of data structure without increasing the execution time, and allows us also to derive from a subset of the minpaths/mincuts a lower/upper bound of the network reliability, so that the quality of the obtained approximation can be estimated. Finally, a fair and detailed comparison between our approach and another state of the art approach presented in the literature is documented through a set of benchmarks.
  • Keywords
    approximation theory; binary decision diagrams; computational complexity; graph theory; network theory (graphs); reliability theory; BDD approach; binary decision diagram; computation memory peak reduction; connectivity graph; data structure; network complexity; network reliability analysis; reliability bounds; Approximation algorithms; Approximation methods; Boolean functions; Bridges; Data structures; Encoding; Reliability; BDD; Exact and Approximate Algorithms; Network Reliability; Upper and Lower Bound;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Systems and Networks (DSN), 2012 42nd Annual IEEE/IFIP International Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    1530-0889
  • Print_ISBN
    978-1-4673-1624-8
  • Electronic_ISBN
    1530-0889
  • Type

    conf

  • DOI
    10.1109/DSN.2012.6263935
  • Filename
    6263935