As part of a broader organisational restructure, data networking research at Swinburne University of Technology has moved from the Centre for Advanced Internet Architecture (CAIA) to the Internet For Things (I4T) Research Lab.

Although CAIA no longer exists, this website reflects CAIA's activities and outputs between March 2002 and February 2017, and is being maintained as a service to the broader data networking research community.

Automated Network Re-Engineering Techniques and Planning Tools to Support Highly Interactive, Latency-Constrained Applications

This site hosts the web presence of Project Stream 4 within the Smart Networks stream of the Smart Internet Technology CRC. Within this framework, Project Stream 4 is exploring better network support for real-time traffic, in particular online computer gaming. Computer games are a rapidly growing market with unique Quality of Service (QoS) network requirements.

The project has been sub-divided into two sub-projects, both hosted at this site. These sub-projects are entitled:

  • SONG (Simulating Online Networked Games) - A publically available library of network traffic traces and simulation models that can be used to augment existing IP network engineering tools.
  • ANGEL (Automated Network Games Enhancement Layer) - Use of Machine Learning techniques to automate classification and isolation of interactive and non-interactive traffic, and utilise this information to dynamically reconfigure the network to better support current traffic flows.

Who is Involved?

Organisations:

  • CAIA - The Centre for Advanced Internet Architectures, Swinburne University.
  • FICT - Faculty of Information and Communication Technologies, Swinburne University.
  • SIT-CRC - Smart Internet Technology CRC.
Last Updated: Thursday 11-Oct-2007 15:01:41 EST | Maintained by: Jason But (jbut@swin.edu.au) | Authorised by: Grenville Armitage ( garmitage@swin.edu.au)