Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/217700

Download PDF (CAIA-TR-070228E) (Adobe Acrobat PDF, -1 bytes)

Title

ANGEL client manager software architecture design document

Author(s)

But, Jason

Abstract

The Automated Network Games Enhancement Layer (ANGEL) project aims to leverage Machine Learning (ML) techniques to automate the classification and isolation of interactive (e.g. games, voice over IP) and non-interactive (e.g. web) traffic. This information is then used to dynamically reconfigure the network to improve the Quality of Service provided to the current interactive traffic flows and subsequently deliver improved performance to the end users. Within this scope, the project will develop protocols that allow the adjustment of Consumer Premise Equipment (CPE - eg. cable/ADSL) configuration to provide better quality of service to interactive flows detected in real-time. This document describes the basic design motivation of the Client Manager Software Component of ANGEL. The Client Manager is responsible for managing registration and de-registration of individual ANGEL-enabled CPE devices and then delivering flow classification information from the Flow Classifier to all registered users that are routing those flows.

Publication type

Technical report

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies. Centre for Advanced Internet Architectures

Source

Centre for Advanced Internet Architectures: technical reports, No. 070228E

Publication year

2007

Keyword(s)

ANGEL;  Automated Network Games Enhancement Layer;  Client manager;  Consumer premises equipment;  Flow classifier;  Machine learning;  QoS;  Quality of service

Publisher

Centre for Advanced Internet Architectures, Swinburne University of Technology

Publisher URL

http://caia.swin.edu.au/reports/

Copyright

Copyright © 2007 The author.

Full text