Introduction to an Agent-Based Grid Workflow Management System

  • Lei Cao
  • Minglu Li
  • Jian Cao
  • Yi Wang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3759)


Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. One of the most important grid services is workflow management. Grid workflow applications are also emerging as one of the most interesting application classes for the grid. In this paper, we give an introduction to our agent-based grid workflow management system (AGWMS). AGWMS has a four-layer framework. It bases on the adapter middleware and uses a multi-agent platform to make the system more robust, flexible and intelligent. Artificial Intelligence (AI) planning technology is also utilized to generate the agent plan automatically. Our AGWMS is a novel one.


Grid Computing Workflow Multi-Agent Planning 


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  1. 1.
    Foster, I., Kesselman, C.: The Grid Blueprint for a Future Computing Infrastructure. Morgan Kaufmann, USA (1999)Google Scholar
  2. 2.
    Hwang, S.: Grid workflow-a flexible framework for fault tolerance in the grid. In: PhD Thesis (2003)Google Scholar
  3. 3.
    Foster, I., Kesselman, C.: The anatomy of the grid: Enabling scalable virtual organizations. International J. Supercomputer Application 15, 10 (2001)Google Scholar
  4. 4.
    Griss, M.: My agent will call your agent. Software Development Magazine, 4 (Febraury 2000)Google Scholar
  5. 5.
    Zeus: The zeus agent building toolkit,
  6. 6.
    Jini: Jini community,
  7. 7.
    Condor: The directed acyclic graph manager (2004),
  8. 8.
    Deelman, E.: Chimera, a virtual data system for representing, querying, and automating data derivation. In: Proceedings of 14th Conference on Scientific and Statistical Database Management (2002)Google Scholar
  9. 9.
    Deelman, E., et al.: Pegasus: Mapping scientific workflows onto the grid. In: Proceedings of Across Grids Conference (2004)Google Scholar
  10. 10.
    MyGrid: Mygrid project,
  11. 11.
    Cao, J., Jarvis, S.A., Saini, S., Nudd, G.R.: Gridflow: Workflow management for grid computing. In: Proceedings of the 3rd IEEE/ACM International Symposium on Cluster Computing and the Grid, CCGRID 2003 (2003)Google Scholar
  12. 12.
    Graham, G.E., Bertram, I., Evans, D., Love, P., Walker, R.: Mcrunjob: A high energy physics workflow planner for grid computing. High Energy and Nuclear Physics 3 (2003)Google Scholar
  13. 13.
    Hugh, P., Bivens, J.I.B.: Gale: Grid access language for hpc environment,
  14. 14.
  15. 15.
    JADE: Jade project,
  16. 16.
    Stuart Russell, P.N.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice Hall, Englewood Cliffs (2002)Google Scholar
  17. 17.
    Cao, J., et al.: A dynamically reconfigurable system based on workflow and service agents. Engineering Applications of Artificial Intelligence 17 (2004)Google Scholar
  18. 18.
    Tuecke, S., et al.: Open grid services infrastructure (ogsi) version 1.0. In: Specification of GGF by OGSI-WG (2003)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Lei Cao
    • 1
  • Minglu Li
    • 1
  • Jian Cao
    • 1
  • Yi Wang
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiChina

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