Grid-based parallel and distributed simulation environment

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

Research output: Contribution to journalArticle

4 Citations (Scopus)


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
Pages (from-to)503-508
Number of pages6
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication statusPublished - 2003 Dec 1


ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

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