A Platform for Distributed Analysis of Neuroimaging Data on Global Grids

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

doi:10.1109/E-SCIENCE.2005.9

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 proceeding › Conference Paper › Research › peer-review

7 Citations (Scopus)

Abstract

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 language	English
Title of host publication	First International Conference on e-Science and Grid Computing
Editors	H Stockinger, R Buyya, R Perrott
Place of Publication	USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	79 - 86
Number of pages	8
Volume	1
ISBN (Print)	0769524486
DOIs	https://doi.org/10.1109/E-SCIENCE.2005.9
Publication status	Published - 2005
Externally published	Yes
Event	IEEE International Conference on e-Science and Grid Computing 2005 - Melbourne, Australia Duration: 5 Dec 2005 → 8 Dec 2005 Conference number: 1st

Conference

Conference	IEEE International Conference on e-Science and Grid Computing 2005
Abbreviated title	e-Science 2005
Country/Territory	Australia
City	Melbourne
Period	5/12/05 → 8/12/05

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10.1109/E-SCIENCE.2005.9

Cite this

Kolbe, S., Ma, T., Liu, W., Soh, W. S., Buyya, R., & Egan, G. (2005). A Platform for Distributed Analysis of Neuroimaging Data on Global Grids. In H. Stockinger, R. Buyya, & R. Perrott (Eds.), First International Conference on e-Science and Grid Computing (Vol. 1, pp. 79 - 86). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/E-SCIENCE.2005.9

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title = "A Platform for Distributed Analysis of Neuroimaging Data on Global Grids",

abstract = "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.",

author = "Scott Kolbe and Tianchi Ma and Wei Liu and Soh, \{Wee Siong\} and Rajkumar Buyya and Gary Egan",

year = "2005",

doi = "10.1109/E-SCIENCE.2005.9",

language = "English",

isbn = "0769524486",

volume = "1",

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editor = "H Stockinger and R Buyya and R Perrott",

booktitle = "First International Conference on e-Science and Grid Computing",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on e-Science and Grid Computing 2005, e-Science 2005 ; Conference date: 05-12-2005 Through 08-12-2005",

}

Kolbe, S, Ma, T, Liu, W, Soh, WS, Buyya, R & Egan, G 2005, A Platform for Distributed Analysis of Neuroimaging Data on Global Grids. in H Stockinger, R Buyya & R Perrott (eds), First International Conference on e-Science and Grid Computing. vol. 1, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 79 - 86, IEEE International Conference on e-Science and Grid Computing 2005, Melbourne, Victoria, Australia, 5/12/05. https://doi.org/10.1109/E-SCIENCE.2005.9

A Platform for Distributed Analysis of Neuroimaging Data on Global Grids. / Kolbe, Scott; Ma, Tianchi; Liu, Wei et al.
First International Conference on e-Science and Grid Computing. ed. / H Stockinger; R Buyya; R Perrott. Vol. 1 USA: IEEE, Institute of Electrical and Electronics Engineers, 2005. p. 79 - 86.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - A Platform for Distributed Analysis of Neuroimaging Data on Global Grids

AU - Kolbe, Scott

AU - Ma, Tianchi

AU - Liu, Wei

AU - Soh, Wee Siong

AU - Buyya, Rajkumar

AU - Egan, Gary

N1 - Conference code: 1st

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N2 - 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.

AB - 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.

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M3 - Conference Paper

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BT - First International Conference on e-Science and Grid Computing

A2 - Stockinger, H

A2 - Buyya, R

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ER -

A Platform for Distributed Analysis of Neuroimaging Data on Global Grids

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