Cooperative Processes for Scientific Workflows

  • Khaled Gaaloul
  • François Charoy
  • Claude Godart
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3993)


The work described in this paper is a contribution to the problems of managing in data-intensive scientific applications. First, we discuss scientific workflows and motivate there use in scientific applications. Then, we introduce the concept of cooperative processes and describe their interactions and uses in a flexible cooperative workflow system called Bonita. Finally, we propose an approach to integrate and synthesize the data exchanged by the mapping of data-intensive science into Bonita, using a binary approach, and illustrate the endeavors done to enhance the performance computations within a dynamic environment.


Dynamic Environment Heterogeneous Data Data Streaming Cooperative Process Binary Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Deelman, E., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Patil, S., Su, M.-H., Vahi, K., Livny, M.: Pegasus: Mapping scientific workflows onto the grid. In: European Across Grids Conference, pp. 11–20 (2004)Google Scholar
  2. 2.
    Yu, J., Buyya, R.: A taxonomy of scientific workflow systems for grid computing. SIGMOD Record 34(3), 44–49 (2005)CrossRefGoogle Scholar
  3. 3.
    Bowers, S., Ludäscher, B.: An ontology-driven framework for data transformation in scientific workflows. In: DILS, pp. 1–16 (2004)Google Scholar
  4. 4.
    Medeiros, C.B., Vossen, G., Weske, M.: WASA: A workflow-based architecture to support scientific database applications (extended abstract). Database and Expert Systems Applications, 574–583 (1995)Google Scholar
  5. 5.
    Grigori, D., Charoy, F., Godart, C.: Anticipation to enhance flexibility of workflow execution. In: Mayr, H.C., Lazanský, J., Quirchmayr, G., Vogel, P. (eds.) DEXA 2001. LNCS, vol. 2113, pp. 264–273. Springer, Heidelberg (2001)CrossRefGoogle Scholar
  6. 6.
    Agarwala, S., Eisenhauer, G., Schwan, K.: Lightweight morphing support for evolving middleware data exchanges in distributed applications. In: ICDCS 2005: Proceedings of the 25th IEEE International Conference on Distributed Computing Systems (ICDCS 2005), Washington, DC, USA, pp. 697–706. IEEE Computer Society, Los Alamitos (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Khaled Gaaloul
    • 1
  • François Charoy
    • 1
  • Claude Godart
    • 1
  1. 1.LORIA – INRIA – CNRS – UMR 7503Vandœuvre-lès-Nancy CedexFrance

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