Workflow Collaboration Workshop

Scientific workflow (or e-science workflow) emerged as a paradigm to formalize and structure complex scientific experiments supported by Distributed Computing Infrastructures. An e-science workflow is a formal specification of a scientific process to capture and to automate the analytical and computational steps of a simulation. The 2x90 minutes long workshop brings together the representatives of some of the most important workflow systems, workflows and support projects from the EGI community and beyond, and will give the opportunity to discuss and exchange experiences, best practices and issues of building ‘communities of interest' through workflow technologies. Special emphasis is given to workflow solutions that work with the production infrastructures offered by EGI, namely the grid platforms and the recently established Federated Cloud platform. The workshop is organised by the ER-flow and EGI-InSPIRE projects as a 2x90 minutes long session under the EGI Community Forum.

Place: The University of Manchester - Manchester, UK

Dates: Thursday 11 April 2013 14:00-17:30

Programme:

14:00 - 14:20 Workflow sharing and integration services by the ER-flow project - Kitti Varga (MTA SZTAKI)

14:20 - 14:40 Experiences from workflow sharing using the SHIWA Workflow Repository for application porting to DCI - Marc Santcroos (AMC)

14:40 - 15:05 BioVeL: Taverna Workflows on distributed grid computing for Biodiversity - Giacinto Donvito (INFN)

15:05 - 15:30 The Taverna Workflow Suite: Designing, Running and Sharing Workflows for Science on the Web, Grid or Cloud - Carole Goble (The University of Manchester)

Break

16:00 - 16:30 Leveraging the standardized JSDL Paramater Sweep Extension to enhance Scientific Workflow Execution on High Performance Computing resources - Shahbaz Memon (JUELICH)

16:30 - 17:00 Heliophysics workflows - Gabriele Pierantoni (TCD)

17:00 - 17:30 Workflows by the VERCE project for Earthquake and Seismology Research - Mario David (CNRS)

Official website: https://indico.egi.eu/indico/sessionDisplay.py?sessionId=34&confId=1222#20130411

        

   This project has received funding from the European Union's Seventh Framework Programme for research, technological development and demonstration under grant agreement no 312579.