GridFlow: workflow management for grid computing

• Published in: CCGrid 2003. 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2003. Proceedings pp. 198 - 205
• Main Authors: Junwei Cao, Jarvis, S.A., Saini, S., Nudd, G.R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2003
• Subjects: Computational modeling; Environmental management; Grid computing; Large scale integration; Monitoring; Portals; Processor scheduling; Resource management; Timing; Workflow management software
• ISBN: 9780769519197; 0769519199
• DOI: 10.1109/CCGRID.2003.1199369

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.