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Algorithmics-Graphs-Combinatorics

Domaine
Algorithmics-Graphs-Combinatorics
Domain - extra
Année
2013
Starting
September/October 2013
État
Closed
Sujet
Optimal Planning of Next Generation Content-Centric Networks
Thesis advisor
MARTIGNON Fabio
Co-advisors
Dario Rossi (ParisTech)
Laboratory
Collaborations
Abstract
This PhD thesis will focus on a novel network paradigm, first envisioned in the pioneering work of Van Jacobson at Palo Alto Research Center (PARC): Information Centric Networking, also known under the names of Named Data Networking or Content-Centric Networking (CCN). The philosophy behind such revolutionary paradigm is twofold: (1) Content-Centric Networks focus on users' requests for specific objects, or contents (identified by a globally-routable content name), rather than on the communication between two endpoints in the Internet (which is the current philosophy underlying the IP architecture), and (2) massive caching is exploited in routers and, in general, in network nodes to serve such content as efficiently as possible to network users, without having to always contact the original content producer, which may lead to severe performance degradation at the Internet scale.
Context
Objectives
Work program
Extra information
Prerequisite
Détails
Télécharger Thesis-CCN.pdf
Expected funding
Institutional funding
Status of funding
Confirmed
Candidates
Utilisateur
fabio.martignon
Créé
Vendredi 21 juin 2013 16:12:07 CEST
dernière modif.
Lundi 02 septembre 2013 17:08:05 CEST

Fichiers joints

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Thesis-CCN.pdf 21 Jun 2013 16:129618.77 Kb


Ecole Doctorale Informatique Paris-Sud


Directrice
Nicole Bidoit
Assistante
Stéphanie Druetta
Conseiller aux thèses
Dominique Gouyou-Beauchamps

ED 427 - Université Paris-Sud
UFR Sciences Orsay
Bat 650 - aile nord - 417
Tel : 01 69 15 63 19
Fax : 01 69 15 63 87
courriel: ed-info à lri.fr