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.

ANGEL - Automated Network Games Enhancement Layer

Introduction

ANGEL leverages the emerging field of Machine Learning (ML) to first automate the classification and isolation of interactive and non-interactive traffic within a service provider's network, and then to utilise this information to dynamically reconfigure the network to better support the current traffic flows and deliver an improved performance to the end users. Within this scope, the project has led to the development of a prototype system with accompanying new protocols that allow the adjustment of Consumer Premise Equipment (CPE - eg. cable/adsl modem) in response to real-time detection to changes in the current traffic profile within the ISP network.

Download a video - angel_hq_h264.mp4 (53MB Download, mp4 file, h264 Video, AAC Audio) - outlining the premise behind the design of ANGEL, and demonstrating its effectiveness.

Please choose from the links in the menu above to learn more about ANGEL or to see ANGEL related publications and presentations.

Who is involved?

The researchers involved in this project are:

• Professor Grenville Armitage - Project Leader.
• Dr. Jason But - Researcher.
• Mr. Sebastian Zander - Researcher.
• Mrs. Thuy Nguyen - Research Fellow.
• Mr. Lawrence Stewart - Research Assistant.
• Mr. Nigel Williams - Research Assistant.

Smart Internet Technology CRC

ANGEL is part of the Smart Networks project of the Smart Internet Technology CRC, who's stated aim is:

"The aim is to develop a flexible network and server infrastructure based on an open architecture paradigm. This will enable a plethora of third party development and solutions to be deployed cost effectively and scalably. Taking advantage of processing resources made available within the network and through integration of network-based knowledge and capabilities into the user application, a host of new applications and services will be enabled and customised for delivery to a diverse range of end-user devices."

Within the scope of this project, the work being conducted at Swinburne University includes not only the development of this automated network management within the ISP network to better support multi-player networked games, but also the work being carried out as part of the SONG (Simulating Online Networked Games) database project.