• DocumentCode
    1523923
  • Title

    A general method for maximizing the error-detecting ability of distributed algorithms

  • Author

    Schollmeyer, Martina ; McMillin, Bruce

  • Author_Institution
    Res. Inst. for Appl. Software Technol., Munich, Germany
  • Volume
    8
  • Issue
    2
  • fYear
    1997
  • fDate
    2/1/1997 12:00:00 AM
  • Firstpage
    164
  • Lastpage
    172
  • Abstract
    The bound on component failures and their spatial distribution govern the fault tolerance of any candidate error-detecting algorithm. For distributed memory multiprocessors, the specific algorithm and the topology of the processor interconnection network define these bounds. This paper introduces the maximal fault index, derived from the system topology and local communication patterns, to demonstrate how a maximal number of simultaneous component failures can be tolerated for a particular interconnection network and error-detecting algorithm. The index is used to design a mapping of processes to processor groups such that the error-detecting ability of the algorithm is preserved for certain multiple simultaneous processor failures
  • Keywords
    distributed algorithms; error detection codes; fault tolerant computing; multiprocessor interconnection networks; component failures; distributed algorithms; distributed memory multiprocessors; error-detecting ability; fault tolerance; interconnection network; local communication patterns; maximal fault index; multiple simultaneous processor failures; processor interconnection network; simultaneous component failures; spatial distribution; system topology; Algorithm design and analysis; Delay; Distributed algorithms; Fault detection; Fault tolerance; Fault tolerant systems; Multiprocessor interconnection networks; Network topology; Safety; Simultaneous localization and mapping;
  • fLanguage
    English
  • Journal_Title
    Parallel and Distributed Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9219
  • Type

    jour

  • DOI
    10.1109/71.577258
  • Filename
    577258