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ADVANCES IN PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING
Edited by: P. Iványi, B.H.V. Topping and G. Várady
Flowbster Workflow System for Clouds
P. Kacsuk, J. Kovács and Z. Farkas
Institute for Computer Science and Control, Hungarian Academy of Sciences (MTA SZTAKI), Budapest, Hungary
P. Kacsuk, J. Kovacs, Z. Farkas, "Flowbster Workflow System for Clouds", in P. Iványi, B.H.V. Topping and G. Várady, (Editors), "Advances in Parallel, Distributed, Grid and Cloud Computing for Engineering", Saxe-Coburg Publications, Stirlingshire, UK, Chapter 7, pp 137-156, 2017. doi:10.4203/csets.40.7
Keywords: cloud computing, workflow, service choreography.
The paper describes a new cloud-oriented workflow system called as Flowbster. It was designed to create efficient data pipelines by which very large data sets can efficiently be processed in clouds. The Flowbster workflow can be deployed in the target cloud as a virtual infrastructure through which the data to be processed can flow and meanwhile it flows through the workflow it is transformed as the business logic of the workflow defines it. Instead of using the enactor based workflow concept Flowbster applies the service choreography concept where the workflow nodes directly communicate with each other. Workflow nodes are able to recognize if they can be activated with a certain data set without the interaction of central control service like the enactor in service orchestration workflows. As a result Flowbster workflows implement a much more efficient data path through the workflow than service orchestration workflows.
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