Active Data: Supporting the Grid Data Life Cycle
Tim Ho, David Abramson · 2007
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the data is first generated, and tracks its progress through replication, distribution, deletion and possible re-computation. We describe the design and implementation of an infrastructure, called active data, which combines existing grid middleware to support the scientific data lifecycle in a platform-neutral environment.