Big Process for Big Data
by Ian Foster (University of Chicago)
at CERN ( 503-1-001 - Council Chamber )
Large and diverse data result in challenging data management problems that researchers and facilities are often ill-equipped to handle. I propose a new approach to these problems based on the outsourcing of research data management tasks to software-as-a-service providers. I argue that this approach can both achieve significant economies of scale and accelerate discovery by allowing researchers to focus on research rather than mundane information technology tasks. I present early results with the approach in the context of Globus Online.
|Organised by||Bob Jones and Miguel Angel Marquina
Computing Seminars /IT Department