A smart agent-based grid computing platform

Kwang Won Koh; Hie Cheol Kim; Kyung Lang Park; Hwang Jik Lee; Shin Dug Kim

doi:10.1007/978-3-540-24709-8_3

A smart agent-based grid computing platform

Kwang Won Koh, Hie Cheol Kim, Kyung Lang Park, Hwang Jik Lee, Shin Dug Kim

College of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Most of Grid computing platforms are usually configured with high performance computing servers, supercomputers, and cluster systems. The research is about to design an aggressive Grid computing platform by utilizing a large number of pervasive PCs as a Grid component. For this goal, an effective configuration method to construct a group of PCs is required as a single Grid component to be used in the same way as those cluster systems are designed and utilized as the same system technology. The configuration method is designed as a layered service architecture, i.e., physical information service, mobile management service, and point-based scheduling service, based on agent technology. The physical information service is to gather and maintain the status information of physical nodes, the mobile management service to guarantee the effective resource management by using the mobile agent, and the point-based scheduling service to provide a simple scheduling policy for the PC-based computing resource. Through this configuration method, the efficiency of the resource management and system throughput are expected to be increased. The experimental result shows that the system using this configuration method can support more than 90% of the expected performance given by a chosen set of running PC resources in general computing environment.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Editors	Antonio Lagana, Marina L. Gavrilova, Vipin Kumar, Youngsong Mun, C.J. Kenneth Tan, Osvaldo Gervasi
Publisher	Springer Verlag
Pages	20-29
Number of pages	10
ISBN (Print)	3540220569, 9783540220565
DOIs	https://doi.org/10.1007/978-3-540-24709-8_3
Publication status	Published - 2004

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3044
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-24709-8_3

Cite this

Koh, K. W., Kim, H. C., Park, K. L., Lee, H. J., & Kim, S. D. (2004). A smart agent-based grid computing platform. In A. Lagana, M. L. Gavrilova, V. Kumar, Y. Mun, C. J. Kenneth Tan, & O. Gervasi (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 20-29). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3044). Springer Verlag. https://doi.org/10.1007/978-3-540-24709-8_3

Koh, Kwang Won ; Kim, Hie Cheol ; Park, Kyung Lang et al. / A smart agent-based grid computing platform. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). editor / Antonio Lagana ; Marina L. Gavrilova ; Vipin Kumar ; Youngsong Mun ; C.J. Kenneth Tan ; Osvaldo Gervasi. Springer Verlag, 2004. pp. 20-29 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Most of Grid computing platforms are usually configured with high performance computing servers, supercomputers, and cluster systems. The research is about to design an aggressive Grid computing platform by utilizing a large number of pervasive PCs as a Grid component. For this goal, an effective configuration method to construct a group of PCs is required as a single Grid component to be used in the same way as those cluster systems are designed and utilized as the same system technology. The configuration method is designed as a layered service architecture, i.e., physical information service, mobile management service, and point-based scheduling service, based on agent technology. The physical information service is to gather and maintain the status information of physical nodes, the mobile management service to guarantee the effective resource management by using the mobile agent, and the point-based scheduling service to provide a simple scheduling policy for the PC-based computing resource. Through this configuration method, the efficiency of the resource management and system throughput are expected to be increased. The experimental result shows that the system using this configuration method can support more than 90% of the expected performance given by a chosen set of running PC resources in general computing environment.",

author = "Koh, {Kwang Won} and Kim, {Hie Cheol} and Park, {Kyung Lang} and Lee, {Hwang Jik} and Kim, {Shin Dug}",

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Koh, KW, Kim, HC, Park, KL, Lee, HJ & Kim, SD 2004, A smart agent-based grid computing platform. in A Lagana, ML Gavrilova, V Kumar, Y Mun, CJ Kenneth Tan & O Gervasi (eds), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3044, Springer Verlag, pp. 20-29. https://doi.org/10.1007/978-3-540-24709-8_3

A smart agent-based grid computing platform. / Koh, Kwang Won; Kim, Hie Cheol; Park, Kyung Lang et al.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ed. / Antonio Lagana; Marina L. Gavrilova; Vipin Kumar; Youngsong Mun; C.J. Kenneth Tan; Osvaldo Gervasi. Springer Verlag, 2004. p. 20-29 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3044).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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T1 - A smart agent-based grid computing platform

AU - Koh, Kwang Won

AU - Kim, Hie Cheol

AU - Park, Kyung Lang

AU - Lee, Hwang Jik

AU - Kim, Shin Dug

PY - 2004

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N2 - Most of Grid computing platforms are usually configured with high performance computing servers, supercomputers, and cluster systems. The research is about to design an aggressive Grid computing platform by utilizing a large number of pervasive PCs as a Grid component. For this goal, an effective configuration method to construct a group of PCs is required as a single Grid component to be used in the same way as those cluster systems are designed and utilized as the same system technology. The configuration method is designed as a layered service architecture, i.e., physical information service, mobile management service, and point-based scheduling service, based on agent technology. The physical information service is to gather and maintain the status information of physical nodes, the mobile management service to guarantee the effective resource management by using the mobile agent, and the point-based scheduling service to provide a simple scheduling policy for the PC-based computing resource. Through this configuration method, the efficiency of the resource management and system throughput are expected to be increased. The experimental result shows that the system using this configuration method can support more than 90% of the expected performance given by a chosen set of running PC resources in general computing environment.

AB - Most of Grid computing platforms are usually configured with high performance computing servers, supercomputers, and cluster systems. The research is about to design an aggressive Grid computing platform by utilizing a large number of pervasive PCs as a Grid component. For this goal, an effective configuration method to construct a group of PCs is required as a single Grid component to be used in the same way as those cluster systems are designed and utilized as the same system technology. The configuration method is designed as a layered service architecture, i.e., physical information service, mobile management service, and point-based scheduling service, based on agent technology. The physical information service is to gather and maintain the status information of physical nodes, the mobile management service to guarantee the effective resource management by using the mobile agent, and the point-based scheduling service to provide a simple scheduling policy for the PC-based computing resource. Through this configuration method, the efficiency of the resource management and system throughput are expected to be increased. The experimental result shows that the system using this configuration method can support more than 90% of the expected performance given by a chosen set of running PC resources in general computing environment.

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M3 - Chapter

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SN - 3540220569

SN - 9783540220565

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 20

EP - 29

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

A2 - Lagana, Antonio

A2 - Gavrilova, Marina L.

A2 - Kumar, Vipin

A2 - Mun, Youngsong

A2 - Kenneth Tan, C.J.

A2 - Gervasi, Osvaldo

PB - Springer Verlag

ER -

Koh KW, Kim HC, Park KL, Lee HJ, Kim SD. A smart agent-based grid computing platform. In Lagana A, Gavrilova ML, Kumar V, Mun Y, Kenneth Tan CJ, Gervasi O, editors, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. 2004. p. 20-29. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-24709-8_3

A smart agent-based grid computing platform

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