Subject Descriptions - Subject Information

Calendar: 2017 Postgraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology

Subject Information
Subject Code MCS9319
Subject Name Distributed Systems and Cloud Computing
Credit Points 6
Pre-Requisites None.
Co-Requisites None.
Restrictions None.
Equivalence None.
General Subject No.
EFTSL (Non Weighted) 0.125
Non Weighted Student Contribution Amounts
Commonwealth Supported (HECS) Students Only
Pre-1997 Pre-2005 Post-2005 Post-2008 Post-2009 Post-2010
$ 1131  $ 1131  $ 1131  $ 1131  $ 1131  $ 1131 
Weighted Student Contribution Amounts  
Work Experience No
Tutorial Enrolment Information Students should use the SMP OnLine Tutorial System (via SOLS) to enrol in Tutorial/laboratory groups for this subject. Once enrolments are open a link to the subject will appear in Tutorial Enrolments.
Availability Not Available in 2017

Subject Description
This subject introduces basic concepts underlying modern distributed system and cloud computing system design. The subject provides some experience in the implementation of distributed system and cloud computing system components. A particular focus of this subject is on scalability, transparency, and design principles underlying distributed and cloud computing systems. Topics covered include: inter-process communications, multi-threaded servers, remote-procedure-calls, synchronous and asynchronous RPC, client server systems, distributed system architectures, messaging and transactional systems, peer-to-peer, cluster, and grid technologies, virtualization and fault tolerance, synchronization, security, naming, synchronization, replication, and consistency; supporting systems such as NFS, and DNS, with some practical exposure to real world distributed systems, design of distributed file services or distributed web based services, and cloud computing systems.

Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Illustrate different systems architectures, differentiate between centralised, de-centralised and hybrid architectures, make sensible choice of systems architectures for different applications.
2. Address scalability and transparency requirements, and apply the principles of distributed and cloud computing system design.
3. Utilise different service models including conventional client-server models, peer-to-peer models, cluster computing systems, grid computing mechanisms and other specialised architectures.
4. Implement structured and unstructured peer-to-peer systems.
5. Identify how cloud computing relates to distributed systems.
6. Explain communications in distributed systems including RPC, NFS, TCP, DNS, Message passing, communication in wireless systems, and streaming.

Textbook Information
Distributed Systems, Principles and Paradigms. By A.S. Tanenbaum and M.van Steen, Pearson International, 2nd Ed.
Text book information is available via the UniShop website:

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