GRIDFLOW WORKFLOW MANAGEMENT GRID COMPUTING PDF

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Email Address. Sign In. 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.

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GridFlow: workflow management for grid computing

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Jarvis and Subhash Saini and Graham R. Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration.

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Towards the Scheduling of Multiple Workflows on Computational Grids

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