Abstract
Scientific workflows are emerging as a dominant approach for scientists to assemble highly-specialized applications, and to exchange large heterogeneous datasets to automate the accomplishment of complex scientific tasks. Several Scientific Workflow Management Systems (SWfMS) have already been designed so as to support the execution, and monitoring of scientific workflows. Even though, there are still some additional requirements and challenges must be met in order to provide a fully distributed and efficient SWfMS. SWIMS (Scientific Workflow Management and Integration System) environment has been developed trying to examine the nature of these challenges and to accommodate the missing requirements. In this paper we are going to highlight these requirements and show how the workflow management in SWIMS fulfills them.
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