摘要：Traditional grid computing
focuses on the movement of data to compute resources and the management of
large scale simulations. Data grid computing focuses on moving the operations
to the storage location and on operations on data collections. We present three
types of data grid operations that facilitate data driven research: the
manipulation of time series data, the reproducible execution of workflows, and
the mapping of data access to software-defined networks. These data grid
operations have been implemented as operations on collections within the NSF
DataNet Federation Consortium project. The operations can be applied at the
remote resource where data are stored, improving the ability of researchers to
interact with large collections.
关键词：Component; Data Grid; Policy-Based; Operations
