Beyond Scientific Workflows: Networked Open Processes

 

The multitude of scientific services and processes being developed brings about challenges for future in silico distributed experiments. Choosing the correct service from an expanding body of processes means that the the task of manually building workflows is becoming untenable. In this research  develop an aproach to tackle the future of scientific collaborative distributed computing. We introduce the notion of Networked Open Processes whereby processes are exposed, published, and linked using semantics in the same way as is done with LinkedOpen Data. As part of the framework we introduce several novel concepts including Process Object Identifiers, Semantic FunctionTemplates, and TReQL; a SQL-like language for queryingnetworked open process graphs [1]. To reliase this vision we have started by developing a framework which will make pave the way and will help to address the data processing aspects.  The framework, PUMPKIN,  implements a protocol for distributed data processing (more details can be found on the PUMPKIN's Web site [2])

 

 

 

[1] R. Cushing, M.T. Bubak, A.S.Z. Belloum, and C. de Laat, Beyond Scientific Workflows:Networked Open Processes, In Proceedings of the IEEE International Conference on e-Science 2013, workshop on Analyzing and Improving Collaborative eScience with SocialNetworks, doi:10.1109/eScience.2013.51.

 

[2] Exploratory Data Processing [PUMPKIN web site ]