Agent-based resource management for grid computing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

Agent-based resource management for grid computing. / Cao, Junwei; Spooner, Daniel P.; Turner, James D.; Jarvis, Stephen A.; Kerbyson, Darren J.; Saini, Subhash; Nudd, Graham R.

2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002. IEEE Computer Society, 2002. p. 350 1540487 (2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Cao, J, Spooner, DP, Turner, JD, Jarvis, SA, Kerbyson, DJ, Saini, S & Nudd, GR 2002, Agent-based resource management for grid computing. in 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002., 1540487, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002, IEEE Computer Society, pp. 350, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002, Berlin, Germany, 21/05/02. https://doi.org/10.1109/CCGRID.2002.1017159

APA

Cao, J., Spooner, D. P., Turner, J. D., Jarvis, S. A., Kerbyson, D. J., Saini, S., & Nudd, G. R. (2002). Agent-based resource management for grid computing. In 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 (pp. 350). [1540487] (2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002). IEEE Computer Society. https://doi.org/10.1109/CCGRID.2002.1017159

Vancouver

Cao J, Spooner DP, Turner JD, Jarvis SA, Kerbyson DJ, Saini S et al. Agent-based resource management for grid computing. In 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002. IEEE Computer Society. 2002. p. 350. 1540487. (2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002). https://doi.org/10.1109/CCGRID.2002.1017159

Author

Cao, Junwei ; Spooner, Daniel P. ; Turner, James D. ; Jarvis, Stephen A. ; Kerbyson, Darren J. ; Saini, Subhash ; Nudd, Graham R. / Agent-based resource management for grid computing. 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002. IEEE Computer Society, 2002. pp. 350 (2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002).

Bibtex

@inproceedings{5d7abf05b5f4481fa02af1ed4b149b51,
title = "Agent-based resource management for grid computing",
abstract = "It is envisaged that the grid infrastructure will be a large-scale distributed software system that will provide high-end computational and storage capabilities to differentiated users. A number of distributed computing technologies are being applied to grid development work, including CORBA and Jini. In this work, we introduce an A4 (Agile Architecture and Autonomous Agents) methodology, which can be used for resource management for grid computing. An initial system implementation utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on local grid resources. At the meta-level, a hierarchy of identical agents is used to provide an abstraction of the system architecture. Each agent is able to cooperate with other agents to provide service advertisement and discovery to schedule applications that need to utilise grid resources. A performance monitor and advisor (PMA) is in development to optimize the performance of agent behaviours.",
author = "Junwei Cao and Spooner, {Daniel P.} and Turner, {James D.} and Jarvis, {Stephen A.} and Kerbyson, {Darren J.} and Subhash Saini and Nudd, {Graham R.}",
year = "2002",
doi = "10.1109/CCGRID.2002.1017159",
language = "English",
isbn = "0769515827",
series = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002",
publisher = "IEEE Computer Society",
pages = "350",
booktitle = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002",
address = "United States",
note = "2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002 ; Conference date: 21-05-2002 Through 24-05-2002",

}

RIS

TY - GEN

T1 - Agent-based resource management for grid computing

AU - Cao, Junwei

AU - Spooner, Daniel P.

AU - Turner, James D.

AU - Jarvis, Stephen A.

AU - Kerbyson, Darren J.

AU - Saini, Subhash

AU - Nudd, Graham R.

PY - 2002

Y1 - 2002

N2 - It is envisaged that the grid infrastructure will be a large-scale distributed software system that will provide high-end computational and storage capabilities to differentiated users. A number of distributed computing technologies are being applied to grid development work, including CORBA and Jini. In this work, we introduce an A4 (Agile Architecture and Autonomous Agents) methodology, which can be used for resource management for grid computing. An initial system implementation utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on local grid resources. At the meta-level, a hierarchy of identical agents is used to provide an abstraction of the system architecture. Each agent is able to cooperate with other agents to provide service advertisement and discovery to schedule applications that need to utilise grid resources. A performance monitor and advisor (PMA) is in development to optimize the performance of agent behaviours.

AB - It is envisaged that the grid infrastructure will be a large-scale distributed software system that will provide high-end computational and storage capabilities to differentiated users. A number of distributed computing technologies are being applied to grid development work, including CORBA and Jini. In this work, we introduce an A4 (Agile Architecture and Autonomous Agents) methodology, which can be used for resource management for grid computing. An initial system implementation utilises the performance prediction techniques of the PACE toolkit to provide quantitative data regarding the performance of complex applications running on local grid resources. At the meta-level, a hierarchy of identical agents is used to provide an abstraction of the system architecture. Each agent is able to cooperate with other agents to provide service advertisement and discovery to schedule applications that need to utilise grid resources. A performance monitor and advisor (PMA) is in development to optimize the performance of agent behaviours.

UR - http://www.scopus.com/inward/record.url?scp=84887865620&partnerID=8YFLogxK

U2 - 10.1109/CCGRID.2002.1017159

DO - 10.1109/CCGRID.2002.1017159

M3 - Conference contribution

AN - SCOPUS:84887865620

SN - 0769515827

SN - 9780769515823

T3 - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

SP - 350

BT - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

PB - IEEE Computer Society

T2 - 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2002

Y2 - 21 May 2002 through 24 May 2002

ER -