DescriptionScientific workflows have been used across scientific domains and have underpinned some of the most significant discoveries of the past several decades. Workflow management systems provide abstraction and automation which enable a broad range of researchers to easily define sophisticated computational processes and to then execute them efficiently on parallel and distributed computing systems. As workflows have been adopted by a number of scientific communities, they are becoming more complex and require more sophisticated capabilities.
This workshop focuses on the many facets of scientific workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service, and job dependencies. The workshop covers a broad range of issues such: scientific workflows representation and enactment; workflow scheduling techniques ; workflow enactment engines; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance.