Abstract
Over the last years, scientists have been using scientific workflows to build computer simulations to support the development of new theories. Due to the increasing use of scientific workflows in production environments, the composition of workflows and their executions can no longer be performed in an ad-hoc manner. Although current scientific workflow management systems support the execution of workflows, they present limitations regarding the composition of workflows when it comes to using different levels of abstractions. This paper introduces the concept of experiment line which is a systematic approach for the composition of scientific workflows that represents an in-silico experiment. An experiment line is inspired on the software engineering reuse discipline and allows the composition of scientific workflows at different levels of abstractions, which characterizes both the in-silico experiment and different workflow variations that are related to the experiment.
This work was partially sponsored by CNPq.
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Ogasawara, E., Paulino, C., Murta, L., Werner, C., Mattoso, M. (2009). Experiment Line: Software Reuse in Scientific Workflows. In: Winslett, M. (eds) Scientific and Statistical Database Management. SSDBM 2009. Lecture Notes in Computer Science, vol 5566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02279-1_20
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