title: A framework supporting the development of a Grid portal for analysis based on ROI.
abstract: OBJECTIVE
  In our research on brain function analysis, users require two different simultaneous types of processing: interactive processing to a specific part of data and high-performance batch processing to an entire dataset. The difference between these two types of processing is in whether or not the analysis is for data in the region of interest (ROI). In this study, we propose a Grid portal that has a mechanism to freely assign computing resources to the users on a Grid environment according to the users' two different types of processing requirements.
  
  
  METHODS
  We constructed a Grid portal which integrates interactive processing and batch processing by the following two mechanisms. First, a job steering mechanism controls job execution based on user-tagged priority among organizations with heterogeneous computing resources. Interactive jobs are processed in preference to batch jobs by this mechanism. Second, a priority-based result delivery mechanism that administrates a rank of data significance.
  
  
  RESULTS
  The portal ensures a turn-around time of interactive processing by the priority-based job controlling mechanism, and provides the users with quality of services (QoS) for interactive processing. The users can access the analysis results of interactive jobs in preference to the analysis results of batch jobs. The Grid portal has also achieved high-performance computation of MEG analysis with batch processing on the Grid environment.
  
  
  CONCLUSIONS
  The priority-based job controlling mechanism has been realized to freely assign computing resources to the users' requirements. Furthermore the achievement of high-performance computation contributes greatly to the overall progress of brain science. The portal has thus made it possible for the users to flexibly include the large computational power in what they want to analyze.
authors.affiliation: Graduate School of Information Science and Technology, Osaka University, 5-1 Mihogaoka, Ibaraki, Osaka 567-0047, Japan. Ichikawa@ais.cmc.osaka-u.ac.jp
authors.forename: K
authors.initials: K
authors.lastname: Ichikawa
authors.forename: S
authors.initials: S
authors.lastname: Date
authors.forename: T
authors.initials: T
authors.lastname: Kaishima
authors.forename: S
authors.initials: S
authors.lastname: Shimojo
mesh_terms: D001927:Brain Diseases / Q000175:diagnosis* / Q000000981:diagnostic imaging; D003628:Database Management Systems; D016208:Databases, Factual; D004569:Electroencephalography; D006801:Humans; D021621:Imaging, Three-Dimensional; D038622:Internationality; D020407:Internet; D007449:Investments; D008491:Medical Informatics Applications; D016730:Program Development; D011859:Radiography; D011873:Radiology Information Systems / Q000295:instrumentation*; D018511:Systems Integration; D019112:Teleradiology / Q000295:instrumentation*; D014054:Tomography