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Composition and On Demand Deployment of Distributed Brain Activity Analysis Application on Global Grids
 

Summary: 1
Composition and On Demand Deployment of Distributed Brain
Activity Analysis Application on Global Grids
R. Buyya1
, S. Date2
, Y. Mizuno-Matsumoto3
, S. Venugopal1
, and D. Abramson4
Abstract
The distribution of knowledge (by scientists) and data sources (advanced scientific instruments), and
the need of large-scale computational resources for analyzing massive scientific data are two major
problems commonly observed in scientific disciplines. The two popular scientific disciplines of this
nature are brain science and high-energy physics. The analysis of brain activity data gathered from the
MEG (Magnetoencephalography) instrument is an important research topic in medical science since it
helps doctors in identifying symptoms of diseases. The data needs to be analyzed exhaustively to
efficiently diagnose and analyze brain functions and requires access to large-scale computational
resources. The potential platform for solving such resource intensive applications is the Grid. This
paper presents the design and development of MEG data analysis system by leveraging Grid
technologies, primarily Nimrod-G, Gridbus, and Globus. It describes the composition of the
neuroscience (brain activity analysis) application as parameter-sweep application and its on-demand

  

Source: Abramson, David - Caulfield School of Information Technology, Monash University

 

Collections: Computer Technologies and Information Sciences