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)

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
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)
Volume2763
Publication statusPublished - 2003 Dec 1

Fingerprint

Parallel Simulation
Distributed Simulation
Distributed Environment
Simulation Environment
Scalability
Servers
Technology
Grid
Distributed computer systems
Parallel processing systems
Fault tolerance
Transparency
Resource allocation
Computing
Parallel and Distributed Computing
Object-oriented Simulation
Simulation
Resources
Client/server
Parallel Applications

ASJC Scopus subject areas

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

Cite this

Grid-based parallel and distributed simulation environment. / Kim, Chang Hoon; Lee, Tae Dong; Hwang, Sun Chul; Jeong, Chang-Sung.

In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2763, 01.12.2003, p. 503-508.

Research output: Contribution to journalArticle

@article{d6c4aafe6c004381abc9d786e1bc8db6,
title = "Grid-based parallel and distributed simulation environment",
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.",
author = "Kim, {Chang Hoon} and Lee, {Tae Dong} and Hwang, {Sun Chul} and Chang-Sung Jeong",
year = "2003",
month = "12",
day = "1",
language = "English",
volume = "2763",
pages = "503--508",
journal = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
issn = "0302-9743",
publisher = "Springer Verlag",

}

TY - JOUR

T1 - Grid-based parallel and distributed simulation environment

AU - Kim, Chang Hoon

AU - Lee, Tae Dong

AU - Hwang, Sun Chul

AU - Jeong, Chang-Sung

PY - 2003/12/1

Y1 - 2003/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=33845510058&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33845510058&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:33845510058

VL - 2763

SP - 503

EP - 508

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SN - 0302-9743

ER -