TY  - CONF
Y1  - 2010///
SN  - 9781424456512
A1  - Riasetiawan, M.
A1  - Mahmood, A.K.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953894490&doi=10.1109%2fINFRKM.2010.5466941&partnerID=40&md5=439c596825862a8117c7b31bb7517cfa
EP  - 96
CY  - Shah Alam
AV  - none
N1  - cited By 2; Conference of International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10 ; Conference Date: 17 March 2010 Through 18 March 2010; Conference Code:80735
N2  - 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. ©2010 IEEE.
ID  - scholars1225
TI  - Managing and preserving large data volume in data grid environment
SP  - 91
KW  - Data Grid; Large data; Network project design; Project designs; Scientific data; Work-flows
KW  -  Architectural design; Grid computing; Information retrieval; Knowledge management; Management science
KW  -  Project management
ER  -