Active Data: Supporting the Grid Data Life Cycle

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 platformneutral environment.

• Type: Conference
• Year: 2007
• Where: CCGRID
• Authors: Tim Ho, David Abramson
• Keywords: CCGRID 2007, Cluster Computing, Computation Intensive Workflows, Scientific Applications, Scientific Data Lifecycle