Scalable Video Streaming with Prioritised Network Coding on End-System Overlays

PhDDistribution over the internet is destined to become a standard approach for live broadcasting of TV or events of nation-wide interest. The demand for high-quality live video with personal requirements is destined to grow exponentially over the next few years. Endsystem multicast is a desirable option for relieving the content server from bandwidth bottlenecks and computational load by allowing decentralised allocation of resources to the users and distributed service management. Network coding provides innovative solutions for a multitude of issues related to multi-user content distribution, such as the coupon-collection problem, allocation and scheduling procedure. This thesis tackles the problem of streaming scalable video on end-system multicast overlays with prioritised push-based streaming. We analyse the characteristic arising from a random coding process as a linear channel operator, and present a novel error detection and correction system for error-resilient decoding, providing one of the first practical frameworks for Joint Source-Channel-Network coding. Our system outperforms both network error correction and traditional FEC coding when performed separately. We then present a content distribution system based on endsystem multicast. Our data exchange protocol makes use of network coding as a way to collaboratively deliver data to several peers. Prioritised streaming is performed by means of hierarchical network coding and a dynamic chunk selection for optimised rate allocation based on goodput statistics at application layer. We prove, by simulated experiments, the efficient allocation of resources for adaptive video delivery. Finally we describe the implementation of our coding system. We highlighting the use rateless coding properties, discuss the application in collaborative and distributed coding systems, and provide an optimised implementation of the decoding algorithm with advanced CPU instructions. We analyse computational load and packet loss protection via lab tests and simulations, complementing the overall analysis of the video streaming system in all its components

Le code à effacement Mojette : Applications dans les réseaux et dans le Cloud

Dans ce travail, je présente l'intérêt du code correcteur à effacement Mojette pour des architectures de stockage distribuées tolérantes aux pannes. De manière générale, l'approche par code permet de réduire d'un facteur 2 le volume de données stockées par rapport à l'approche standard par réplication qui consiste à copier la donnée en autant de fois que l'on suppose de pannes. De manière spécifique, le code à effacement Mojette présente les performances requises pour la lecture et l'écriture de données chaudes i.e très régulièrement sollicitées. Ces performances en entrées/sorties permettent par exemple l'exécution de machines virtuelles sur des données distribuées par le système de fichier RozoFS. En outre, j'effectue un rappel de mes contributions dans le domaine des réseaux auto-organisés de type P2P et ad hoc mobile en présentant respectivement les protocoles P2PWeb et MP-OLSR. L'ensemble de ce travail est le fruit de 5 encadrements doctoraux et de 3 projets collaboratifs majeurs

Resilience-Building Technologies: State of Knowledge -- ReSIST NoE Deliverable D12

This document is the first product of work package WP2, "Resilience-building and -scaling technologies", in the programme of jointly executed research (JER) of the ReSIST Network of Excellenc