Exhibits, Demos & Posters
Gridbus Workflow Management System for fMRI Image Analysis on Global Grids
Authors
- Suraj Pandey, Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia
- Chao Jin, Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia
- William Voorsluys, Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia
- Mustafizur Rahman, Grid Computing and Distributed Systems (GRIDS) Laboratory, Department of Computer Science and Software Engineering, The University of Melbourne, Australia
- Rajkumar Buyya,Grid Computing and Distributed Systems (GRIDS) Laboratory Department of Computer Science and Software Engineering, The University of Melbourne, Australia
Abstract
Gridbus Workflow Management System (GWMS) is designed to execute scientific applications, expressed in the form of workflows, onto grid and cloud resources. With the help of this system, we demonstrate a computational and data-intensive Image Registration (IR) workflow for functional Magnetic Resonance Imaging (fMRI) applications on clouds and global grids. We also present a demonstration of the Aneka System. Aneka is a .NET-based cloud software platform that provides: (i) a configurable service container hosting pluggable services for discovering, scheduling various types of workloads and (ii) a flexible and extensible framework supporting various programming models. We use distributed grid and cloud resources from Australia, Austria, France, Japan, and USA for the executions of image registration workflow, and resources from Melbourne University for executing map-reduce applications in Aneka cloud environment.
