• DocumentCode
    2674173
  • Title

    Using modulo rulers for optimal recovery schemes in distributed computing

  • Author

    Klonowska, Kamilla ; Lundberg, Lars ; Lennerstad, Håkan ; Svahnberg, Charlie

  • Author_Institution
    Dept. of Software Eng. & Comput. Sci., Blekinge Inst. of Technol., Sweden
  • fYear
    2004
  • fDate
    3-5 March 2004
  • Firstpage
    133
  • Lastpage
    142
  • Abstract
    Clusters and distributed systems offer fault tolerance and high performance through load sharing. When all computers are up and running, we would like the load to be evenly distributed among the computers. When one or more computers break down the load on these computers must be redistributed to other computers in the cluster. The redistribution is determined by the recovery scheme. The recovery scheme should keep the load as evenly distributed as possible even when the most unfavorable combinations of computers break down, i.e. we want to optimize the worst-case behavior. We define recovery schemes, which are optimal for a larger number of computers down than in previous results. We also show that the problem of finding optimal recovery schemes for a cluster with n computers corresponds to the mathematical problem of finding the longest sequence of positive integers for which the sum of the sequence and the sums of all subsequences modulo n are unique.
  • Keywords
    distributed processing; resource allocation; software fault tolerance; system recovery; workstation clusters; distributed computing; fault tolerance; load sharing; mathematical problem; modulo ruler; optimal recovery scheme; Application software; Availability; Clustering algorithms; Computer errors; Distributed computing; Fault tolerance; Fault tolerant systems; High performance computing; Resumes; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing, 2004. Proceedings. 10th IEEE Pacific Rim International Symposium on
  • Print_ISBN
    0-7695-2076-6
  • Type

    conf

  • DOI
    10.1109/PRDC.2004.1276564
  • Filename
    1276564