Implementation and application of object oriented workflow management systems

Nowadays, more and more computer-based scientific experiments need to handle massive amounts of data. Their data processing consists of multiple computational steps and dependencies within them. A data-intensive scientific workflow is useful for ...

This chapter describes the work done within the NSF-funded GriPhyN project in the area of workflow management. The targeted workflows are large both in terms of the number of tasks in a given workflow and in terms of the total execution time of the ...

Modern science often requires the execution of large-scale, multi-stage simulation and data analysis pipelines to enable the study of complex systems. The amount of computation and data involved in these pipelines requires scalable workflow management ...