April 14, 2011 - 1:00pm
Presented by: Ravi Madduri, University of Chicago/Argonne National Laboratory Computation Institute
Title: “Creating and Sharing Re-usable Workflows in Cardiovascular Research: Lessons learned using Taverna."
View: (Powerpoint [7mb]) (Archived Webinar Recording)
Abstract:
Service-oriented Science (SOS) represents a SOA approach to federating data access and analysis across different institutional and disciplinary sources, thus facilitating large scale scientific collaboration. The US National Cancer Institute’s Biomedical Information Grid (a.k.a., caBIG) program seeks to create both a service computing infrastructure (caGrid) and a suite of data and analytical services. Workflow tools in caGrid facilitate both the use and creation of services by accelerating service discovery, composition and orchestration tasks.
In this talk we use caGrid as a case of service computing in biomedical science and include a combination of research and engineering effort made by our team. The following aspects are to be covered: 1) the motivation of SOS and an overview of state-of-the-art; we will highlight some examples in biomedical and bioinformatics field; 2) caGrid architecture, the service creation and management tools it offers and the services it hosts; 3) Taverna workbench as the workflow solution of caGrid, and how we enhanced it to fulfill the requirements from caGrid community; 4) the challenges we faced and the lessons learned.
Speaker Bio:
Ravi Madduri is a Project Manager at the Mathematics and Computer Science Division of Argonne National Laboratory and a Fellow in the Computational Institute at the University of Chicago. He is actively involved in developing innovative software and networking technology. He developed a remote application virtualization infrastructure and is a key contributor to the Cancer Bioinformatics Grid (caBIG). The Grid-enable extension was incorporated in the Grid Service Authoring Toolkit (Introduce) and is used by NCI Information Systems. He is also a key player in the BIRN project. He is the chair of the BIRN workflow working group.