Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding

Optimizing User Quality of Experience through Overlay Routing, Bandwidth Management and Dynamic Trans-Coding

Maarten Wijnants (EDM - Hasselt University - tUL – IBBT, Belgium), Wim Lamotte (EDM - Hasselt University - tUL – IBBT, Belgium), Bart De Vleeschauwer (IBCN – INTEC - Ghent University – IBBT, Belgium), Filip De Turck (IBCN – INTEC - Ghent University – IBBT, Belgium), Bart Dhoedt (IBCN – INTEC - Ghent University – IBBT, Belgium), Piet Demeester (IBCN – INTEC - Ghent University – IBBT, Belgium), Peter Lambert (MMLab - ELIS - Ghent University – IBBT, Belgium), Dieter Van de Walle (MMLab - ELIS - Ghent University – IBBT, Belgium), Jan De Cock (MMLab - ELIS - Ghent University – IBBT, Belgium), Stijn Notebaert (MMLab - ELIS - Ghent University – IBBT, Belgium) and Rik Van de Walle (MMLab - ELIS - Ghent University – IBBT, Belgium)
Copyright: © 2010 |Pages: 22
DOI: 10.4018/jaras.2010040105
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Abstract

Accessing multimedia services via fixed and wireless networks has become common practice. These services are typically much more sensitive to packet loss, delay and/or congestion than traditional services. In particular, multimedia data is often time critical and, as a result, network issues are not well tolerated and significantly deteriorate the user’s Quality of Experience (QoE). Therefore, the authors propose a QoE optimization platform that is able to mitigate problems that might occur at any location in the delivery path from service provider to customer. More specifically, the distributed architecture supports overlay routing to circumvent erratic parts of the network core. In addition, it comprises proxy components that realize last mile optimization through automatic bandwidth management and the application of processing on multimedia flows. This paper introduces a trans-coding service for this proxy component which enables the transformation of H.264/AVC video flows to an arbitrary bitrate. Through representative experimental results, the authors illustrate how this addition enhances the QoE optimization capabilities of the proposed platform by allowing the proxy component to compute more flexible and effective bandwidth distributions.
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End-To-End Architecture

Our platform for QoE enhancement adheres to the separation of concerns paradigm and as such comprises three distinct types of components located at key locations in the Internet. The encompassed component types are overlay servers which act as overlay layer routers in the architecture, overlay access components that regulate the access to the overlay infrastructure and NIProxy instances which enable the execution of QoE improving operations on the last mile of the network connection. A schematic overview of the proposed end-to-end platform is depicted in Figure 1.

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