DocumentCode :
3134607
Title :
Grid-based metadata services
Author :
Deelman, Ewa ; Singh, Gurmeet ; Atkinson, Malcolm P. ; Chervenak, Ann ; Hong, Neil P Chue ; Kesselman, Carl ; Patil, Sonal ; Pearlman, Laura ; Su, Mei-Hui
Author_Institution :
Inst. of Inf. Sci., Southern California Univ., Los Angeles, CA, USA
fYear :
2004
fDate :
21-23 June 2004
Firstpage :
393
Lastpage :
402
Abstract :
Data sets being managed in grid environments today are growing at a rapid rate, expected to reach 100s of petabytes in the near future. Managing such large data sets poses challenges for efficient data access, data publication and data discovery. In this paper we focus on the data publication and discovery process through the use of descriptive metadata. This metadata describe the properties of individual data items and collections. We discuss issues of metadata services in service rich environments, such as the grid. We describe the requirements and the architecture for such services in the context of grid and the available grid services. We present a data model that can capture the complexity of the data publication and discovery process. Based on that model we identify a set of interfaces and operations that need to be provided to support metadata management. We present a particular implementation of a grid metadata service, basing it on existing grid services technologies. Finally we examine alternative implementations of that service.
Keywords :
data acquisition; data mining; data models; grid computing; meta data; data access; data collections; data discovery; data item properties; data model; data publication; descriptive metadata; grid environments; grid-based metadata services; large data set management; metadata management; service architecture; Astronomy; Collaboration; Context-aware services; Data analysis; Data models; Environmental management; Image databases; Instruments; Physics; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Scientific and Statistical Database Management, 2004. Proceedings. 16th International Conference on
ISSN :
1099-3371
Print_ISBN :
0-7695-2146-0
Type :
conf
DOI :
10.1109/SSDM.2004.1311235
Filename :
1311235
Link To Document :
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