Course Outline

The Official Course Outline is hosted on ECOS , which is UNSW's Enterprise Course Outline Solution.

Some additional useful information (Lecture and assessment schedule; Resources for students) is below:

Lecture and assessment schedule:

The following table lists the tentative schedule. Students will be informed of any changes during the lecture and by announcements on the notice page.

Sometimes the lecture hours may be used to discuss revision problems.

The format given in the table below is only a guide. The format may vary from what's stated below.

Week	Date	Lecture topic	Assessments
1	13 Feb + 16 Feb	Introduction to capacity planning + Queueing Models, Basic operational analysis
2	20 Feb + 23 Feb	Advanced operational analysis. Workload characterisation + Single server queues with Poisson Arrival
3	27 Feb + 2 Mar	Multi-server queues with Poisson Arrival. Markov model (1) + Markov chain
4	5 Mar + 8 Mar	Non-Markovian queues. Processor sharing. + Discrete event simulation (1): Organising discrete event simulation Priority queues.
5	12 Mar + 15 Mar	Discrete event simulation (2): Analysing simulation data + Discrete event simulation (3): Comparing two systems Discrete event simulation (4): Generating random numbers	Assignment due Fri 15 March 2024
6	19 Mar + 22 Mar	Flexibility Week. No lectures
7	26 Mar + 29 Mar	Queueing disciplines. Queueing applications + [Good Friday public holiday. No lectures.]
8	2 Apr + 5 Apr	Mean value analysis + Optimisation and network planning (1): Linear Programming
9	9 Apr + 12 Apr	Optimisation and network planning (2): Integer Programming + Optimisation and network planning (3): Network flow
10	16 Apr + 19 Apr	Optimisation and network planning (4): Placement problem + Optimisation and network planning (5). Revision	Project due Fri 19 April 2024
11		No lectures.

Resources for students :

Textbook: There is no single text book. Please refer to lecture notes for references.

A number of lectures are based on

Daniel A. Menasce, Virgilio A.F. Almeida and Lawrence W. Dowdy. Performance by Design, Prentice Hall, 2004
Mor Harchol-Balter, Performance Modeling and Design of Computer Systems: Queueing Theory in Action, Cambridge University Press, 2013. (Available eletronically via UNSW Library website.)

Reference Texts:

Raj Jain, The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling, Wiley, 1991
Dimitri Bertsekas and Robert Gallager, Data Networks, Prentice Hall, Second Edition, 1992.
Averill M. Law and W. David Kelton, Simulation Modeling and Analysis, McGraw-Hill, Second Edition, 1991.
Wayne L. Winston, Operations Research: Applications and Algorithms, Duxbury Press. Third Edition, 1994.

Other Resources: Lecture materials may also be drawn from journal papers, conference papers and magazine articles published by professional bodies such as IEEE and ACM.

Software Availability:

You can choose any programming language to do computation and simulation. For illustration purposes, sample code will be given in mostly in Python scripts.
For optimisation, we will be using AMPL ( http://ampl.com ). The demo version for AMPL can be downloaded for free.

Resource created Sunday 04 February 2024, 09:12:45 AM, last modified Monday 25 March 2024, 02:23:00 PM.

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