| A Grid-enabled System for Analysis of Brain Function |
| Kohei Ichikawa1 Susumu Date2 Yuko Mizuno-Mastumoto1 and Shinji Shimojo3 |
| 1Department of Information Systems Engineering Graduate School of Osaka University, Japan {ichikawa, yuko}@ais.cmc.osaka-u.ac.jp |
| 2Graduate School of Information Science and Technology Department of Bioinformatic Engineering, Osaka University, Japan date@ais.cmc.osaka-u.ac.jp |
| 3Cybermedia Center, Osaka University, Japan shimojo@cmc.osaka-u.ac.jp |
| Abstract |
In these day, the Grid is demanded everywhere in both scientific and business fields. In particular, brain scientists and doctors strongly demand highly sophisticated Grid technology. In reality, however, they have much difficulty in making use of the Grid because of its complexity. Therefore, they require a mechanism that hides the complexity and provides transparent access to computational resources on the Grid.
From the viewpoint described above, we have developed a mechanism that controls a flow from submitting jobs to downloading results based on priority a user specifies at the job submission. And we have designed and implemented an application on this mechanism as a web-based system that helps scientists and doctors to analyze brain function and diagnose. Thus, the complexity of the Grid is hidden behind the web interface. This system helps scientists and doctors adequately and efficiently perform the analysis and diagnosis of brain function. |