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Concurrent dynamic backtracking for distributed CSPs

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    8 Scopus citations

    Abstract

    A distributed concurrent search algorithm for distributed constraint satisfaction problems (DisCSPs) is presented. Concurrent search algorithms are composed of multiple search processes (SPs) that operate concurrently and scan non-intersecting parts of the global search space. Search processes are generated dynamically, started by the initializing agent, and by any number of agents during search. In the proposed, ConcDB, algorithm, all search processes perform dynamic backtracking (DB). As a consequence of DB, a search space scanned by one search process can be found unsolvable by a different search process. This enhances the efficiency of the ConcDB algorithm. Concurrent search is an asynchronous distributed algorithm and is shown to be faster than asynchronous backtracking (ABT). The network load of ConcDB is also much lower than that of ABT.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    EditorsMark Wallace
    PublisherSpringer Verlag
    Pages782-787
    Number of pages6
    ISBN (Print)3540232419, 9783540232414
    DOIs
    StatePublished - 1 Jan 2004

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3258
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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