• DocumentCode
    3205640
  • Title

    The Weighted Byzantine Agreement Problem

  • Author

    Garg, Vijay K. ; Bridgman, John

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
  • fYear
    2011
  • fDate
    16-20 May 2011
  • Firstpage
    524
  • Lastpage
    531
  • Abstract
    This paper presents a weighted version of the Byzantine Agreement Problem and its solution under various conditions. In this version, each machine is assigned a weight depending on the application. Instead of assuming that at most f out of N machines fail, the algorithm assumes that the total weight of the machines that fail is at most f/N. When each machine has weight 1/N, this problem reduces to the standard Byzantine Generals Agreement Problem. By choosing weights appropriately, the weighted Byzantine Agreement Problem can be applied to situations where a subset of processes are more trusted. By using weights, the system can reach consensus in the presence of Byzantine failures, even when more than N/3 processes fail, so long as the total weight of the failed processes is less than 1/3. Also, a method to update the weights of the processes after execution of the weighted Byzantine Agreement is given. The update method guarantees that the weight of any correct process is never reduced and the weight of any faulty process, suspected by correct processes whose total weight is at least 1/4, is reduced to 0 for future instances. A short discussion of some weight assignment strategies is also given.
  • Keywords
    distributed processing; system recovery; byzantine failures; faulty process; standard byzantine generals agreement problem; update method; weight assignment strategies; weighted byzantine agreement problem; Barium; Complexity theory; Fault tolerance; Mobile communication; Protocols; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel & Distributed Processing Symposium (IPDPS), 2011 IEEE International
  • Conference_Location
    Anchorage, AK
  • ISSN
    1530-2075
  • Print_ISBN
    978-1-61284-372-8
  • Electronic_ISBN
    1530-2075
  • Type

    conf

  • DOI
    10.1109/IPDPS.2011.57
  • Filename
    6012866