Socially-Aware Caching Strategy for Content Centric Networking
Identifieur interne : 000B22 ( Main/Exploration ); précédent : 000B21; suivant : 000B23Socially-Aware Caching Strategy for Content Centric Networking
Auteurs : César Bernardini [France] ; Thomas Silverston [France] ; Olivier Festor [France]Source :
Abstract
Content Centric Networking (CCN) emerged as a replacement architecture for the current Internet. CCN resorts to in-network caching to enhance end-user delivery performance. At the same time, Online Social Networks (OSN) have become the common paradigm to exchange information between users. OSNs carry extremely valuable information about their users and their relationships. This knowledge can help to drasticallyimprove the efficiency of CCN. We present a novel caching strategy for CCN based on social information. We conjecture a small number of users -the Influential users- dominate the activity, receive most attention from other users and produce content more likely to be consumed.Our caching strategy privileges the Influential users and cache pro-actively their content in the network.Through extensive simulation experiments based on two social network scenarios, LastFM and Facebook, and substantial numberof users in a CCN topology, we demonstrate the value of our approach. We also implemented and deployed our strategy onPlanetLab and it improves drastically the caching performances of CCN.
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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><author><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name><affiliation wicri:level="1"><hal:affiliation type="researchteam" xml:id="struct-205122" status="VALID"><idno type="RNSR">200418297A</idno><orgName>Management of dynamic networks and services</orgName><orgName type="acronym">MADYNES</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.inria.fr/equipes/madynes</ref></desc><listRelation><relation active="#struct-129671" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-423085" type="direct"></relation><relation active="#struct-206040" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-129671" type="direct"><org type="laboratory" xml:id="struct-129671" status="VALID"><idno type="RNSR">198618246Y</idno><orgName>INRIA Nancy - Grand Est</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/nancy</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><orgName>Institut National de Recherche en Informatique et en Automatique</orgName><orgName type="acronym">Inria</orgName><desc><address><addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-423085" type="direct"><org type="department" xml:id="struct-423085" status="VALID"><orgName>Department of Networks, Systems and Services</orgName><orgName type="acronym">LORIA - NSS</orgName><desc><address><country key="FR"></country></address><ref type="url">http://www.loria.fr/la-recherche-en/departements/networks-systems-and-services</ref></desc><listRelation><relation active="#struct-206040" type="direct"></relation><relation active="#struct-300009" type="indirect"></relation><relation active="#struct-413289" type="indirect"></relation><relation name="UMR7503" active="#struct-441569" type="indirect"></relation></listRelation></org></tutelle><tutelle active="#struct-206040" type="indirect"><org type="laboratory" xml:id="struct-206040" status="VALID"><idno type="IdRef">067077927</idno><idno type="RNSR">198912571S</idno><idno type="IdUnivLorraine">[UL]RSI--</idno><orgName>Laboratoire Lorrain de Recherche en Informatique et ses Applications</orgName><orgName type="acronym">LORIA</orgName><date type="start">2012-01-01</date><desc><address><addrLine>Campus Scientifique BP 239 54506 Vandoeuvre-lès-Nancy Cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.loria.fr</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-413289" type="direct"></relation><relation name="UMR7503" active="#struct-441569" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-413289" type="indirect"><org type="institution" xml:id="struct-413289" status="VALID"><idno type="IdRef">157040569</idno><idno type="IdUnivLorraine">[UL]100--</idno><orgName>Université de Lorraine</orgName><orgName type="acronym">UL</orgName><date type="start">2012-01-01</date><desc><address><addrLine>34 cours Léopold - 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></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Content Centric Networking (CCN) emerged as a replacement architecture for the current Internet. CCN resorts to in-network caching to enhance end-user delivery performance. At the same time, Online Social Networks (OSN) have become the common paradigm to exchange information between users. OSNs carry extremely valuable information about their users and their relationships. This knowledge can help to drasticallyimprove the efficiency of CCN. We present a novel caching strategy for CCN based on social information. We conjecture a small number of users -the Influential users- dominate the activity, receive most attention from other users and produce content more likely to be consumed.Our caching strategy privileges the Influential users and cache pro-actively their content in the network.Through extensive simulation experiments based on two social network scenarios, LastFM and Facebook, and substantial numberof users in a CCN topology, we demonstrate the value of our approach. We also implemented and deployed our strategy onPlanetLab and it improves drastically the caching performances of CCN.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Metz</li><li>Nancy</li></settlement><orgName><li>Université de Lorraine</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Bernardini, Cesar" sort="Bernardini, Cesar" uniqKey="Bernardini C" first="César" last="Bernardini">César Bernardini</name></region><name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name><name sortKey="Silverston, Thomas" sort="Silverston, Thomas" uniqKey="Silverston T" first="Thomas" last="Silverston">Thomas Silverston</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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