Applying Chimera Virtual Data Concepts to Cluster Finding in the Sloan Sky Survey
|Title||Applying Chimera Virtual Data Concepts to Cluster Finding in the Sloan Sky Survey|
|Year of Publication||2002|
|Authors||Annis, J, Zhao, Y, Voeckler, J, Wilde, M, Kent, S, Foster, IT|
The GriPhyN project is one of several major efforts working to enable large-scale data-intensive computation as a routine scientific tool. GriPhyN focuses in particular on virtual data technologies that allow computational procedures and results to be exploited as community resources so that, for example, scientists cannot only run their own computations on raw data, but also discover computational procedures developed by others and data produced by these procedures. A request to retrieve data on a particular cluster might thus either lead to the retrieval of the requested data from a local or remote database or the scheduling of a computation to produce the data.