GridFlow: Workflow management for grid computing

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

Standard

GridFlow : Workflow management for grid computing. / Cao, Junwei; Jarvis, S. A.; Saini, S.; Nudd, G. R.

Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. p. 198-205 1199369 (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid).

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

Harvard

Cao, J, Jarvis, SA, Saini, S & Nudd, GR 2003, GridFlow: Workflow management for grid computing. in Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid., 1199369, Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, pp. 198-205, 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003, Tokyo, Japan, 12/05/03. https://doi.org/10.1109/CCGRID.2003.1199369

APA

Cao, J., Jarvis, S. A., Saini, S., & Nudd, G. R. (2003). GridFlow: Workflow management for grid computing. In Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid (pp. 198-205). [1199369] (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid). https://doi.org/10.1109/CCGRID.2003.1199369

Vancouver

Cao J, Jarvis SA, Saini S, Nudd GR. GridFlow: Workflow management for grid computing. In Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. p. 198-205. 1199369. (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid). https://doi.org/10.1109/CCGRID.2003.1199369

Author

Cao, Junwei ; Jarvis, S. A. ; Saini, S. ; Nudd, G. R. / GridFlow : Workflow management for grid computing. Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2003. pp. 198-205 (Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid).

Bibtex

@inproceedings{be4639f53e78457398be71328edb417a,
title = "GridFlow: Workflow management for grid computing",
abstract = "Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most important grid services. In this work, a workflow management system for grid computing, called GridFlow, is presented, including a user portal and services of both global grid workflow management and local grid sub-workflow scheduling. Simulation, execution and monitoring functionalities are provided at the global grid level, which work on top of an existing agent-based grid resource management system. At each local grid, sub-workflow scheduling and conflict management are processed on top of an existing performance prediction based task scheduling system. A fuzzy timing technique is applied to address new challenges of workflow management in a cross-domain and highly dynamic grid environment. A case study is given and corresponding results indicate that local and global grid workflow management can coordinate with each other to optimise workflow execution time and solve conflicts of interest.",
author = "Junwei Cao and Jarvis, {S. A.} and S. Saini and Nudd, {G. R.}",
year = "2003",
doi = "10.1109/CCGRID.2003.1199369",
language = "English",
isbn = "0769519199",
series = "Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid",
pages = "198--205",
booktitle = "Proceedings - CCGrid 2003",
note = "3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003 ; Conference date: 12-05-2003 Through 15-05-2003",

}

RIS

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T1 - GridFlow

T2 - 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003

AU - Cao, Junwei

AU - Jarvis, S. A.

AU - Saini, S.

AU - Nudd, G. R.

PY - 2003

Y1 - 2003

N2 - Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most important grid services. In this work, a workflow management system for grid computing, called GridFlow, is presented, including a user portal and services of both global grid workflow management and local grid sub-workflow scheduling. Simulation, execution and monitoring functionalities are provided at the global grid level, which work on top of an existing agent-based grid resource management system. At each local grid, sub-workflow scheduling and conflict management are processed on top of an existing performance prediction based task scheduling system. A fuzzy timing technique is applied to address new challenges of workflow management in a cross-domain and highly dynamic grid environment. A case study is given and corresponding results indicate that local and global grid workflow management can coordinate with each other to optimise workflow execution time and solve conflicts of interest.

AB - Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most important grid services. In this work, a workflow management system for grid computing, called GridFlow, is presented, including a user portal and services of both global grid workflow management and local grid sub-workflow scheduling. Simulation, execution and monitoring functionalities are provided at the global grid level, which work on top of an existing agent-based grid resource management system. At each local grid, sub-workflow scheduling and conflict management are processed on top of an existing performance prediction based task scheduling system. A fuzzy timing technique is applied to address new challenges of workflow management in a cross-domain and highly dynamic grid environment. A case study is given and corresponding results indicate that local and global grid workflow management can coordinate with each other to optimise workflow execution time and solve conflicts of interest.

UR - http://www.scopus.com/inward/record.url?scp=84887548418&partnerID=8YFLogxK

U2 - 10.1109/CCGRID.2003.1199369

DO - 10.1109/CCGRID.2003.1199369

M3 - Conference contribution

AN - SCOPUS:84887548418

SN - 0769519199

SN - 9780769519197

T3 - Proceedings - CCGrid 2003: 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid

SP - 198

EP - 205

BT - Proceedings - CCGrid 2003

Y2 - 12 May 2003 through 15 May 2003

ER -