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

4 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
  • Computer Science(all)

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  • Cite this

    Kim, C. H., Lee, T. D., Hwang, S. C., & Jeong, C. S. (2003). Grid-based parallel and distributed simulation environment. In V. Malyshkin (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 503-508). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2763). Springer Verlag. https://doi.org/10.1007/978-3-540-45145-7_46