The dynamic nature and the geographic distribution of scientific resources, require flexible and adaptive computational environment where an in-silico experiment can be executed as a workflow of activities. In this paper, we propose a software environment to dynamically generate domain-specific, agent-based workflow engines from workflow specifications. The workflow engine is a proactive multiagent system -a distributed, concurrent system- whose autonomous components interact in performing the workflow activities in a specific domain. The proposed approach has been implemented on Hermes, agent-based mobile computing middleware, and tested within "Oncology over Internet" project. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Bartocci, E., Corradini, F., & Merelli, E. (2006). Enacting proactive workflows engine in e-science. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3993 LNCS-III, pp. 1012–1015). Springer Verlag. https://doi.org/10.1007/11758532_138
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