Welcome to WORKS11
Data Intensive Workflows (a.k.a. scientific workflows) are a key technology that enable the set up of large data sets analysis experiments in all scientific areas, exploiting capabilities of large-scale distributed and parallel computing infrastructures. Workflows enable scientists to design complex analysis that are composed of individual application components or services and often such components and services are designed, developed, and tested collaboratively. On large-scale computing infrastructures routinely used for e-Sciences today, workflow management systems provide both a formal description of distributed processes and an engine to enact applications composed of wealth of concurrent processes.
The Sixth Workshop on Workflows in Support of Large-Scale Science focuses on the entire workflow lifecycle including the workflow composition, mapping, robust execution and the recording of provenance information. The workshop also welcomes contributions in the applications area, where the requirements on the workflow management systems can be derived.
- The NSF-funded Workshop on Challenges of Scientific Workflows in May 2006
- WORKS06 in June 2006
- WORKS07 in June 2007
- The 2007 IEEE Workshop on Scientific Workflows in July 2007
- 3rd International Workshop on Scientific Workflows and Business Workflow Standards in e-Science (SWBES) in December 2008
- WORKS08 in November 2008 in conjunction with SC'08 in Austin, TX
- WORKS09 in November 2009
- WORKS10 in November 2010