Cluster and Cloud Computing
Subject COMP90024 (2013)
Note: This is an archived Handbook entry from 2013.
Credit Points: | 12.50 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2013: Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 3 hours per week Total Time Commitment: 120 hours | ||||||||||||
Prerequisites: | Subject Study Period Commencement: Credit Points: | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
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Subject Overview: |
The growing popularity of the Internet along with the availability of powerful computers and high-speed networks as low-cost commodity components are changing the way we do parallel and distributed computing (PDC). The PDC on local-area-networks is called "cluster computing " and wide-area networks is called "grid computing" . Clusters employ cost-effective commodity components for building powerful computers within local-area networks, and Grids allow to share and aggregate geographically distributed resources. Recently, “cloud computing” emerged as the new paradigm for delivery of computing as services in a pay-as-you-go-model via the Internet. This revolutionary new paradigm has its roots, and therefore shares many characteristics, with grids. Some examples of scientific and industrial applications that use these computing platforms are: system simulations, weather forecasting, climate prediction, automobile modelling and design, high-energy physics, movie rendering, business intelligence, bigdata computing, and delivering various business and consumer applications on a pay-as-you-go basis. |
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Objectives: |
On completion of this subject students should:
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Assessment: |
To pass the subject students must obtain at least:
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On successful completion students should:
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Related Course(s): |
Master of Engineering in Distributed Computing Master of Information Technology Master of Information Technology Master of Information Technology Master of Philosophy - Engineering Master of Science (Computer Science) Master of Software Systems Engineering Ph.D.- Engineering Postgraduate Certificate in Engineering |
Related Majors/Minors/Specialisations: |
Computer Science Master of Engineering (Software) |
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