Abstract
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.
Keywords
- 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.
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References
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Gaaloul, K., Charoy, F., Godart, C. (2006). Cooperative Processes for Scientific Workflows. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3993. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758532_132
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DOI: https://doi.org/10.1007/11758532_132
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34383-7
Online ISBN: 978-3-540-34384-4
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