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Internship Research Topic

Title: Feasibility of Reinforcement Learning methods for Congestion Control in multimedia networks based

Context:

This research topic fall within the framework of OCEAN

(Open ContEnt Aware Networks)

FP7 Project. The overall objective of the OCEAN project is to investigate network aware mechanisms to deliver multimedia objects with different quality over the CDN (Content Distribution Network) “last mile” for fixed broadband access networks. The success of multimedia services over Internet (e.g catch-up services, online movie rentals, YouTube movies, IPTV) contributes to dramatically increase Internet traffic. An important part of this traffic is delivered through a CDN. The traffic volume that CDNs can support today is much too small to solve the problem of future increase of multimedia traffic.

In this context, we are interesting in the problem of congestion control in a network where TCP/UDP Internet traffic cohabit with multimedia traffic generated by services like IPTV or VoD. We want to evaluate the feasibility of using Reinforcement Learning methods for the congestion control of multimedia flows. The performances of a proposed RL method for the congestion control must be evaluated and compared with the performances of DASH (Dynamic Adaptive Streaming over HTTP) multimedia flows

Goal:

The internship will proceed in several steps:

1. Bibliographic work on : DASH (Dynamic Adaptive Streaming over HTTP, RL methods to be applied to congestion control problems, TCP Friendly Rate Control (TFRC)

2. Take in hand a network simulator tool, especially NS-3

3. Implementation (or adaptation) of specified protocols (DASH, RL method), in NS-3, to create a test environment and be able to evaluate the performances of these protocols

4. Documentation redaction : state of the art on the specified subjects (DASH, etc), simulator implementation manual, user manual, performance analysis report

Duration / length:

From April to September 2012 ???

Payment

1000 euros

Location:

Université de Versailles Saint-Quentin, Bâtiment Descartes, Laboratoire PRiSM – OCEAN Project, 45 Avenue des Etats-Unis, 78 000 Versailles

Contact:

MCf. Dana MARINCA, [email protected] Prof. Dominique BARTH, [email protected]

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