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 drastically improve 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 number of users in a CCN topology, we demonstrate the value of our approach. We also implemented and deployed our strategy on PlanetLab and it improves drastically the caching performances of CCN.
| Original language | English |
|---|---|
| Title of host publication | 2014 IFIP Networking Conference, IFIP Networking 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9783901882586 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Externally published | Yes |
| Event | 2014 IFIP Networking Conference, IFIP Networking 2014 - Trondheim, Norway Duration: 2014 Jun 2 → 2014 Jun 4 |
Other
| Other | 2014 IFIP Networking Conference, IFIP Networking 2014 |
|---|---|
| Country | Norway |
| City | Trondheim |
| Period | 14/6/2 → 14/6/4 |
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ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Socially-aware caching strategy for content centric networking. / Bernardini, César; Silverston, Thomas; Festor, Olivier.
2014 IFIP Networking Conference, IFIP Networking 2014. IEEE Computer Society, 2014. 6857093.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Socially-aware caching strategy for content centric networking
AU - Bernardini, César
AU - Silverston, Thomas
AU - Festor, Olivier
PY - 2014/1/1
Y1 - 2014/1/1
N2 - 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 drastically improve 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 number of users in a CCN topology, we demonstrate the value of our approach. We also implemented and deployed our strategy on PlanetLab and it improves drastically the caching performances of CCN.
AB - 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 drastically improve 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 number of users in a CCN topology, we demonstrate the value of our approach. We also implemented and deployed our strategy on PlanetLab and it improves drastically the caching performances of CCN.
UR - http://www.scopus.com/inward/record.url?scp=84905965479&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905965479&partnerID=8YFLogxK
U2 - 10.1109/IFIPNetworking.2014.6857093
DO - 10.1109/IFIPNetworking.2014.6857093
M3 - Conference contribution
SN - 9783901882586
BT - 2014 IFIP Networking Conference, IFIP Networking 2014
PB - IEEE Computer Society
ER -