Centre for Advanced Internet Architectures

Modelling Two-player First Person Shooter Games

Supervisor:

Dr Philip Branch

Suitable year level:

3rd year

Project Description

Recently, we have had considerable success in modelling the traffic generated by first person shooter games. One of the building blocks in our development of traffic models of games with many players is the two-player game. This project will involve the statistical analysis of two-player game traffic generated by a server and transmitted to each player. We have conjectured that the state of the two player game (server to client) can be described in terms of client to server traffic. Some preliminary work analysing Quake 3 seems to support this conjecture but additional statistical analysis is needed to determine whether it is true or false and under what circumstances it is true or false. A student undertaking this project will analyse traffic from a selection of the seven games for which we have detailed statistics to see whether or not this conjecture is reasonable. Students carrying out this project would gain some good experience with MATLAB and SPSS as well as some solid training in statistical methods and probability which should be useful for any future research project they might be involved with.

Expectations/Assessment

To obtain a high grade for this project the student will produce a technical report containing an analysis of the seven games for which we have data and a discussion of how well the conjecture matches the actual data.

Pre-requisite Knowledge

Some basic understanding of the role of statistical analysis in testing hypotheses is necessary. Some familiarity with common probability distributions such as the exponential and normal distribution is desirable. Some familiarity with MATLAB and/or SPSS would be useful but is not essential.

Further details:

pbranch @ swin.edu.au

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Last Updated: Wednesday, 1-Nov-2006 14:00:00 EST | Maintained by: Christopher Fluke (cfluke@swin.edu.au) | Authorised by: Prof Doug Grant (dgrant@swin.edu.au)