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Published Articles >> Table of Contents >> Abstract
Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03)
p. 198
GridFlow: Workflow Management for Grid Computing
Junwei Cao, NEC Europe Ltd.
Stephen A. Jarvis, University of Warwick
Subhash Saini, NASA Ames Research Centre
Graham R. Nudd, University of Warwick
Full Article Text:
  
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2003.1199369
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| Abstract |
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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.
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 Additional Information
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Citation:
Junwei Cao, Stephen A. Jarvis, Subhash Saini, Graham R. Nudd,
"GridFlow: Workflow Management for Grid Computing,"
ccgrid,
p. 198,
Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03),
2003
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