Abstract
Scientific workflow management systems provide users with a set of design primitives for process modeling and execution features that have different semantics and capabilities comparing to traditional workflow management systems. The main limitation that prevents the democratization of scientific workflow management systems is the lack of appropriate guidelines and abstract constructs for the development of workflow models. This paper takes on the challenge of developing design patterns for scientific workflow modeling. We present the hybrid semantics of scientific workflow modeling that compose control and data dependencies. We discuss the appropriateness of standard modeling notations to scientific workflow modeling and present the basic scientific workflow patterns.
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