Title :
The HDF5-iRODS Module: A Data Grid System for Object Level Access
Author :
Cao, Peter ; Wan, Mike
Author_Institution :
HDF Group, Champaign, IL
Abstract :
Numerous scientific teams use HDF5 files to store very large datasets, which can be located at remote sites. The HDF5-iRODS module for the iRODS data grid system allows applications to read subsets of datasets without transferring the entire file to a local machine. This capability can result in substantial savings of both time and space.
Keywords :
grid computing; middleware; HDF5-iRODS module; adaptive grid-level middleware technology; data grid system; i Rule Oriented Data Systems; object level access; Ash; Data mining; File servers; Filters; Fires; Large-scale systems; Parallel machines; Satellites; Supercomputers; Technology management; Client/server model; Data Grid; Distributed; HDF5; Remote access; iROD; large/complex data;
Conference_Titel :
eScience, 2008. eScience '08. IEEE Fourth International Conference on
Conference_Location :
Indianapolis, IN
Print_ISBN :
978-1-4244-3380-3
Electronic_ISBN :
978-0-7695-3535-7
DOI :
10.1109/eScience.2008.99
