2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA) (2009)
Bradford, United Kingdom
May 26, 2009 to May 29, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2009.13
Scientific applications like neuroscience data analysis are usually compute and data-intensive. With the use of globally distributed resources and suitable middlewares, we can achieve much shorter execution time, distribute compute and storage load, and add greater flexibility to the execution of these scientific applications than we could ever achieve in a single compute resource.In this paper, we present the processing of Image Registration (IR) for Functional Magnetic Resonance Imaging(fMRI) studies on global Grids. We characterize the application, list its requirements and transform it to a workflow. We then execute the application on Grid’5000 platform and present extensive performance results. We show that the IR application can have 1) significantly improved makespan, 2) distribution of compute and storage load among resources used, and 3) flexibility when executing multiple times on global Grids.
Scientific Workflows, Image Registration Application, Gridbus Workflow Management System, Grid Computing
William Voorsluys, James Dobson, Rajkumar Buyya, Kenneth Chiu, Musta?zur Rahman, Suraj Pandey, "Brain Image Registration Analysis Workflow for fMRI Studies on Global Grids", 2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA), vol. 00, no. , pp. 435-442, 2009, doi:10.1109/AINA.2009.13