GridFlow: Workflow management for grid computing

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

Authors

Colleges, School and Institutes

External organisations

  • NEC Laboratories Europe
  • University of Warwick
  • NASA Ames Research Center

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.

Details

Original languageEnglish
Title of host publicationProceedings - CCGrid 2003
Subtitle of host publication3rd IEEE/ACM International Symposium on Cluster Computing and the Grid
Publication statusPublished - 2003
Event3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003 - Tokyo, Japan
Duration: 12 May 200315 May 2003

Publication series

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

Conference

Conference3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGrid 2003
Country/TerritoryJapan
CityTokyo
Period12/05/0315/05/03