Title :
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
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;
Conference_Titel :
Information Retrieval & Knowledge Management, (CAMP), 2010 International Conference on
Conference_Location :
Shah Alam, Selangor
Print_ISBN :
978-1-4244-5650-5
DOI :
10.1109/INFRKM.2010.5466941
