Grid-based parallel and distributed simulation environment

Chang Hoon Kim, Tae Dong Lee, Sun Chul Hwang, Chang Sung Jeong

    Research output: Chapter in Book/Report/Conference proceedingChapter

    5 Citations (Scopus)

    Abstract

    Although parallel and distributed computing for a large-scale simulation has many advantages in speed and efficiency, it is difficult for parallel and distributed application to achieve its expected performance, because of some obstacles such as deficient computing powers, weakness in fault and security problem. Motivated by these concerns, we present a Grid-based Parallel and Distributed Simulation environment(GPDS) which not only addresses the problems but also supports transparency and scalability using Grid technologies. GPDS supports a 3-tier architecture which consists of clients at front end, interaction server at the middle, and a network of computing resources at back-end. Grid and simulation agents in the interaction server enables client to transparently perform a large-scale object-oriented simulation by automatically distributing the relevant simulation objects among the computing resources while supporting scalability and fault tolerance by load balancing and dynamic migration schemes.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    EditorsVictor Malyshkin
    PublisherSpringer Verlag
    Pages503-508
    Number of pages6
    ISBN (Print)3540406735
    DOIs
    Publication statusPublished - 2003

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2763
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • General Computer Science

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