Croissance Verte dans NDN: Déploiement des Content Stores
Identifieur interne : 000018 ( Main/Exploration ); précédent : 000017; suivant : 000019Croissance Verte dans NDN: Déploiement des Content Stores
Auteurs : Elian Aubry [France] ; Thomas Silverston [Japon] ; Isabelle Chrisment [France]Source :
Descripteurs français
- mix :
- Wicri :
- topic : Simulation.
Abstract
L'architecture Named-Data Networking (NDN) consiste en un réseau de caches, o` u les noeuds peuvent stocker les données qui transitent pour satisfaire les futures requêtes. La mémoire requisè a chaque noeud, appelée Content Store, représente ainsi la majeure partie du coût de l'infrastructure. Cet article se propose d'´ etudier s'il est utile que tous les noeuds soient equipés de Content Stores pour améliorer les performances de l'architecture NDN. Pour cela, nous etudions l'impact du nombre de Content Stores dans un réseau NDN et evaluons ses performances. Nous montrons a travers d'importantes expériences de simulations avec NS-3 et son module ndnSIM que les performances de NDN sont optimales avec seulement 50% de noeuds equipés de Content Stores. C'est un résultat important pour les opérateurs réseaux car cela montre que l'architecture NDN peut etre déployéè a un coût d'infrastructure réduit .
Url:
Affiliations:
- France, Japon
- Grand Est, Lorraine (région), Région de Kantō
- Metz, Nancy, Tokyo
- Université de Lorraine, Université de Tokyo
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 005952
- to stream Hal, to step Curation: 005952
- to stream Hal, to step Checkpoint: 000018
- to stream Main, to step Merge: 000018
- to stream Main, to step Curation: 000018
Le document en format XML
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CS 25233 - 54052 Nancy cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-lorraine.fr/</ref></desc></org></tutelle><tutelle name="UMR7503" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</idno><orgName>Centre National de la Recherche Scientifique</orgName><orgName type="acronym">CNRS</orgName><date type="start">1939-10-19</date><desc><address><country key="FR"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><settlement type="city">Metz</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université de Lorraine</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>Caching</term><term>Green Growth</term><term>Mots-clefs : Information-Centric Networking</term><term>Named-Data Networking</term><term>Simulation</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Simulation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="fr">L'architecture Named-Data Networking (NDN) consiste en un réseau de caches, o` u les noeuds peuvent stocker les données qui transitent pour satisfaire les futures requêtes. La mémoire requisè a chaque noeud, appelée Content Store, représente ainsi la majeure partie du coût de l'infrastructure. Cet article se propose d'´ etudier s'il est utile que tous les noeuds soient equipés de Content Stores pour améliorer les performances de l'architecture NDN. Pour cela, nous etudions l'impact du nombre de Content Stores dans un réseau NDN et evaluons ses performances. Nous montrons a travers d'importantes expériences de simulations avec NS-3 et son module ndnSIM que les performances de NDN sont optimales avec seulement 50% de noeuds equipés de Content Stores. C'est un résultat important pour les opérateurs réseaux car cela montre que l'architecture NDN peut etre déployéè a un coût d'infrastructure réduit .</div></front></TEI><affiliations><list><country><li>France</li><li>Japon</li></country><region><li>Grand Est</li><li>Lorraine (région)</li><li>Région de Kantō</li></region><settlement><li>Metz</li><li>Nancy</li><li>Tokyo</li></settlement><orgName><li>Université de Lorraine</li><li>Université de Tokyo</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Aubry, Elian" sort="Aubry, Elian" uniqKey="Aubry E" first="Elian" last="Aubry">Elian Aubry</name></region><name sortKey="Chrisment, Isabelle" sort="Chrisment, Isabelle" uniqKey="Chrisment I" first="Isabelle" last="Chrisment">Isabelle Chrisment</name></country><country name="Japon"><region name="Région de Kantō"><name sortKey="Silverston, Thomas" sort="Silverston, Thomas" uniqKey="Silverston T" first="Thomas" last="Silverston">Thomas Silverston</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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