FIT5164 - GRID computing
6 points, SCA Band 2, 0.125 EFTSL
Postgraduate Faculty of Information Technology
Leader(s): Dr Asad Khan
Offered
Caulfield Second semester 2009 (Day)
Synopsis
E-Research provides means to harnessing contemporary ICT capabilities for solving challenging problems in science, medicine, and engineering. Computer grids play an pivotal role in E-Research; providing a seamless (web-like) access to a variety of networked resources, e.g. large data stores and information repositories, expensive instruments, high-speed links, sensors networks, and multimedia services for a wide range of applications. Topics covered include: Computational and Service-Oriented Grids, Grid-enabled Applications,. Gridservices, OGSA, Webservices, WSDL, Clustered Computing, GridMPI, Instruments and Sensors, Parametric Computing, P2P, and Data Grids.
Objectives
At the completion of this unit students will:
- To be able to evaluate enabling technologies such as high-speed links and storage area networks for building computer grids.
- To be able to utilise grid computing and clustering middleware, such as Parallel Virtual Machine (PVM), Message Passing Interface (MPI), HPC Portals, and Peer-to-Peer networks for implementing virtual super computing resources.
- To be able to design a grid computing application in one of the key application areas e.g. Computer Animation, E-Research.
- To be able to install a grid computing environment.
- Develop communications skills and accept the code of professional conduct and practice through short presentations and group work.
Assessment
Assignment work: 30%, Lab work: 10%, Exam (3 hours): 60%
Contact hours
2 hours of lectures/week, 2 hours of turorials/week
Prerequisites
FIT1002 or equivalent.
For MAIT students, FIT9017, FIT9018, FIT9019, FIT9030, FIT9020 and FIT4037.
Required knowledge: Some experience with a C like programming language or Java.