eprintid: 1225
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/25
datestamp: 2023-11-09 15:49:23
lastmod: 2023-11-09 15:49:23
status_changed: 2023-11-09 15:39:16
type: conference_item
metadata_visibility: show
creators_name: Riasetiawan, M.
creators_name: Mahmood, A.K.
title: Managing and preserving large data volume in data grid environment
ispublished: pub
keywords: Data Grid; Large data; Network project design; Project designs; Scientific data; Work-flows, Architectural design; Grid computing; Information retrieval; Knowledge management; Management science, Project management
note: 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
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. ©2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77953894490&doi=10.1109%2fINFRKM.2010.5466941&partnerID=40&md5=439c596825862a8117c7b31bb7517cfa
id_number: 10.1109/INFRKM.2010.5466941
full_text_status: none
publication: Proceedings - 2010 International Conference on Information Retrieval and Knowledge Management: Exploring the Invisible World, CAMP'10
place_of_pub: Shah Alam
pagerange: 91-96
refereed: TRUE
isbn: 9781424456512
citation:   Riasetiawan, M. and Mahmood, A.K.  (2010) Managing and preserving large data volume in data grid environment.  In: UNSPECIFIED.