Gwendal SIMON

Gwendal SIMON


Maître de Conférences, HDR
Département Systèmes Réseaux, Cybersécurité et Droit du numérique

Téléphone : (+33) 2 99 12 70 48
Télécopie : 02 99 12 70 30
Courriel : gwendal.simon@imt-atlantique.fr
ENST Bretagne
Titre

In a Telco-CDN, Pushing Content Makes Sense

Auteur(s)

LI Zhe1,2, SIMON Gwendal1,2

Type de document

Article de revue avec comité de lecture

Source

IEEE transactions on network and service management, september 2013, vol. 10, n° 3, pp. 300-311

Année

2013

Résumé

The exploding HD video streaming traffic calls for deploying content servers deeper inside network operators' infrastructures. Telco-CDN are new content distribution services that are managed by Internet Service Providers (ISP). Since the network operator controls both the infrastructure and the content delivery overlay, it is in a position to engineer telco-CDN so that networking resources are optimally utilized. In this paper, we show the following two findings: 1. it is possible to implement an efficient algorithm for the placement of video chunks into a telco-CDN. We present an algorithm, which is based on a genetic algorithm implemented on the MapReduce framework. We show that, for a national VoD service, computing a quasi- optimal placement is possible. 2. such push strategy makes sense because it allows to actually take into account fine-grain traffic management strategies on the underlying infrastructure. Our proposal re-opens the debate about the relevance of such "push" approach (where the manager of telco-CDN proactively pushes video content into servers) versus the traditional caching approach (where the content is pulled to the servers from requests of clients). Our proposal of a quasi-optimal tracker enables fair comparisons between both approaches for most traffic engineering policies. We illustrate the interest of our proposal in the context of a major European Telco-CDN with real traces from a popular Video-on-Demand (VoD) service. Our experimental results show that, given a perfect algorithm for predicting user preferences, our placement algorithm is able to keep aligned with LRU caching in terms of the traditional hit- ratio, but the workload on some troubled links (e.g., over-used links) in a push-based strategy is significantly alleviated.

Labos

1 : RSM - Dépt. Réseaux, Sécurité et Multimédia (Institut Mines-Télécom-Télécom Bretagne-UEB)
2 : IRISA - Institut de recherche en informatique et systèmes aléatoires (UMR CNRS 6074 - Université de Rennes 1 - INRIA - INSA de Rennes - ENS de Cachan - Télécom Bretagne - Université de Bretagne Sud)

Mots clés

Video services, Genetic algorithms, Network optimization

Référence

13485

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