A Platform for Distributed Analysis of Neuroimaging Data on Global Grids

Scott Kolbe, Tianchi Ma, Wei Liu, Wee Siong Soh, Rajkumar Buyya, Gary Egan

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

7 Citations (Scopus)


This paper presents a Grid environment developed for analysis of MRI brain data on global Grids. In the current experiment, the MRI data analysis tasks are composed and formulated as a parameter sweep application. This application was deployed using the Gridbus Resource broker. The clusters in our Grid environment were managed using PBS and SGE. To execute tasks on remote resources, the Gridbus broker used SSH services for some resources and Globus middleware services for others for initiating execution and management. In this experiment, 16 x 8.1MB images and 28 x 16.3MB images were processed using a volumetric analysis method. The total waiting time was 1800s and the total processing time was 1279.30s. The broker overhead was 521s. Completing this analysis on a single machine could take over twenty hours. This Grid architecture provides a useful timesaving analysis tool for neuroimaging applications.
Original languageEnglish
Title of host publicationFirst International Conference on e-Science and Grid Computing
EditorsH Stockinger, R Buyya, R Perrott
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages79 - 86
Number of pages8
ISBN (Print)0769524486
Publication statusPublished - 2005
Externally publishedYes
EventIEEE International Conference on e-Science and Grid Computing 2005 - Melbourne, Australia
Duration: 5 Dec 20058 Dec 2005
Conference number: 1st


ConferenceIEEE International Conference on e-Science and Grid Computing 2005
Abbreviated titlee-Science 2005

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