Additional Pointers
From NSF Workflow Workshop
The Pegasus system ( Pegasus website). A Paper on Pegasus has been published in the Scientific Programming Journal. It describes the Pegasus system that is used to map abstract application workflows onto distributed resources.
VisTrails: Information about the system can be found in the VisTrails Web site. There you can find papers, presentations, and also videos that show some of the important features of the system. For an overview of the system and the new action-based provenance mechanism, see: Using Provenance to Streamline Data Exploration through Visualization
METEOR-S: the METEOR-S Web site METEOR-S follows the METEOR distributed workflow management systems to develop a system for Semantic Web Services and Processes. Semantics play role in entire service and process lifecycle, including annotation, discovery, integration, composition, execution and adaptation (dynamic changes). METEOR-S web site gives access to publications as well as downloadable tools (as Eclipse plug-ins). Web Service Semantics -- WSDL-S WSDL-S Web Site, is a joint work between LSDIS-UGA and IBM is a W3C member submission and the primary input to the W3C working group on WSDL Semmantic Annotations. Another related work is on Autonomic Web Processes which investigates dynamic configuration and adaptation by elevating principles of autonomic computing to the process management level.
IntelliGEN is an example of is a distributed workflow system for developing, adapting and applying workflow technology in a genomics lab. This paper on IntelliGEN presents use of workflows as a distinct part of a larger process of discovering protein-protein interactions. Novel features of this system include the ability to monitor the quality and timeliness of the results and if necessary, suggesting and incorporating changes to the selected tasks and their scheduling.
Relevant papers by Luc Moreau on provenance: [1] [2]
Provenance architecture document (long) [3] and provenance standardisation white paper [4]
Relevant papers by Thomas Fahringer about Askalon: Askalon1, Askalon2, Askalon3, Askalon4
The Algorithmica Project ( Project website). This system can automatically derive data analysis algorithms which are customized for the scientists' problem, in particular for massive datasets. Having this part of the overall scientific data analysis workflow automated allows scientists to effectively experiment with methods based on state-of-the-art statistical and machine learning theory in an interactive loop.
