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Building a Data Grid for the Australian Nanostructural Analysis Network

Mauger, Brendan, Hunter, Jane, Drennan, John, Wright, Ashley J., & O'Hagan, Tony (2007) Building a Data Grid for the Australian Nanostructural Analysis Network. In Third IEEE International Conference on e-Science and Grid Computing (e-Science 2007), Dec 10-13, 2007, Bangalore, India.

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Abstract

This paper describes the architecture and services developed by the GRANI project for the Australian Nanostructural Analysis Network Organisation (NANO). The aim of GRANI was to provide the NANO community with a scalable, distributed data management solution and a secure collaborative environment to ensure high speed access to and seamless sharing of their data, instruments, analytical services and expertise. A grid-enabled, distributed system was developed that links the major Australian microscopy instruments to an underlying distributed national imagery database, a network of microscopy experts, and image processing and analytical services through an authenticated Web/Grid Portal. The aspects that are particularly innovative and that will be described in depth include: The Nano Image Database (NIDB) ­An indexed, distributed archive of images captured directly from the advanced instruments and copied to the National Data Facility using GridFTP; Access to APAC's High Performance Computing (HPC) facilities and grid environment for high speed file movement, image analysis and 3D reconstruction; Real-time video conferencing and video annotation services to improve support for remote access to advanced microscopy instruments and experts.

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ID Code: 12485
Item Type: Conference Paper
DOI: 10.1109/E-SCIENCE.2007.17
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)
Australian and New Zealand Standard Research Classification > CHEMICAL SCIENCE (030000) > MACROMOLECULAR AND MATERIALS CHEMISTRY (030300)
Divisions: Current > QUT Faculties and Divisions > Division of Technology, Information and Learning Support
Current > Research Centres > High Performance Computing and Research Support
Copyright Owner: Copyright 2007 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 15 Feb 2008
Last Modified: 11 Aug 2011 00:50

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