Managing and preserving large data volume in data grid environment

Author

Riasetiawan, Mardhani ; Mahmood, Ahmad Kamil

Author_Institution

Comput. & Inf. Sci. Dept., Univ. Teknol. PETRONAS, Tronoh, Malaysia

fYear

2010

fDate

17-18 March 2010

Firstpage

91

Lastpage

96

Abstract

In this paper we report on architectural design carried out the data grid environment for managing and preserving large scientific data volume. Our aim is to provide design of infrastructure in research data access, share, and collaboration. We describe data grid architecture by explain the network project design, work flow project management, and data management components. By this design, we believe that many large-scale scientific data experiments, simulations, and management could be generated.

Keywords

grid computing; information retrieval systems; project management; very large databases; data grid architecture; data management; data management components; large scientific data volume preservation; large-scale scientific data experiments; network project design; research data access; scientific data volume; work flow project management; Authentication; Collaborative work; Computational modeling; Computer network management; Distributed computing; Environmental management; Grid computing; Information science; Large-scale systems; Project management; Data Grid; Large Data; Management Components; Network Project Design; Scientific Data; Work flow Project Management; component;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Retrieval & Knowledge Management, (CAMP), 2010 International Conference on

Conference_Location

Shah Alam, Selangor

Print_ISBN

978-1-4244-5650-5

Type

conf

DOI

10.1109/INFRKM.2010.5466941

Filename

5466941