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     <dc:title xml:lang="en">Content Delivery Networks as a Service (CDNaaS)</dc:title>
     <dcterms:alternative xml:lang="fr">Les réseaux de diffusion de contenu</dcterms:alternative>
     <dc:subject xml:lang="fr">CDN</dc:subject><dc:subject xml:lang="fr">CDNaaS</dc:subject><dc:subject xml:lang="fr">réseaux de diffusion de contenu</dc:subject>
     <dc:subject xml:lang="en">CDN</dc:subject><dc:subject xml:lang="en">CDNaaS</dc:subject><dc:subject xml:lang="en">vCDN</dc:subject><dc:subject xml:lang="en">NFV</dc:subject><dc:subject xml:lang="en">VNF placement</dc:subject>
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						<tef:elementdEntree autoriteSource="Sudoc" autoriteExterne="027675424">Systèmes de télécommunications</tef:elementdEntree>
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     <dcterms:abstract xml:lang="fr">Le but de cette thèse est d’étudier et d’évaluer le rôle de la virtualisation des réseau de diffusion de contenu. Nous proposons une implémentation d’une architecture CDN permettant à un opérateur de réseau de virtualiser son infrastructure CDN et de la louer à des fournisseurs de contenu. Afin d’avoir une allocation optimale des ressources, nous proposons une méthode qui combine les informations fournies lors de la demande par le fournisseur de contenu avec les données du réseau et de l’infrastructure de calcul. Nous avons modélisé ce problème d’allocation de ressources en problème d’optimisation, résolu par un algorithme. Les résultats obtenues donnent suite à la proposition d’algorithmes et d’heuristiques de placement pour l’allocation conjointe de vCPU-à-VM et le placement des VMs dans les Pms.</dcterms:abstract>
     <dcterms:abstract xml:lang="en">The goal of this thesis is to study and evaluate the role a Virtual CDNs in improving the end-users QoE while saving on service providers’ costs and service availability. First, we present the design and implementation of an architecture for on-demand deployment of a vCDN infrastructure over a telco cloud. Second, we propose different algorithms for solving the Virtual Network Function (VNF) placement problem. We propose a polynomialtime heuristic algorithms to solve a relaxed version of the problem’s assumptions, we show experimentally that the derived solutions are close to the optimal. Finally, we study and evaluate solutions for the placement of VNF at the edge, by moving from the traditional central cloud to the edge one. We have also shown how our method can reduce delays and still provide a highly-available service.</dcterms:abstract>
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       <tef:nom>Yala</tef:nom>
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       <tef:dateNaissance>1991-08-28</tef:dateNaissance>
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                        <dc:identifier xsi:type="tef:NNT">2018REN1S097</dc:identifier>
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IRISA
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