TY - GEN
T1 - Adaptive Caching for Beneficial Content Distribution in Information-Centric Networking
AU - Nguyen, Quang N.
AU - Lopez, Jairo
AU - Tsuda, Toshitaka
AU - Sato, Takuro
AU - Nguyen, Kien
AU - Ariffuzzaman, Mohammad
AU - Safitri, Cutifa
AU - Thanh, Nguyen Huu
N1 - Funding Information:
ACKNOWLEDGMENT This research was partly supported by 5G! Pagoda project, which is funded by the SCOPE project of MIC (Ministry of Internal Affairs and Communications) of Japan and the European Commission’s H2020 program under grant agreement No.723172. This work was also funded by Waseda University Grant for Special Research Projects grant number 2019C-174.
Funding Information:
This research was partly supported by 5G! Pagoda project, which is funded by the SCOPE project of MIC (Ministry of Internal Affairs and Communications) of Japan and the European Commission's H2020 program under grant agreement No.723172. This work was also funded by Waseda University Grant for Special Research Projects grant number 2019C-174.
Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Currently, little attention has been carried out to address the feasibility of in-network caching in Information-Centric Networking (ICN) for the design and real-world deployment of future networks. Towards this line, in this paper, we propose a beneficial caching scheme in ICN by storing no more than a specific number of replicas for each content. Particularly, to realize an optimal content distribution for deploying caches in ICN, a content can be cached either partially or as a full-object corresponding to its request arrival rate and data traffic. Also, we employ a utility-based replacement in each content node to keep the most recent and popular content items in the ICN interconnections. The evaluation results show that the proposal improves the cache hit rate and cache diversity considerably, and acts as a beneficial caching approach for network and service providers in ICN. Specifically, the proposed caching mechanism is easy to deploy, robust, and relevant for the content-based providers by enabling them to offer users high Quality of Service (QoS) and gain benefits at the same time.
AB - Currently, little attention has been carried out to address the feasibility of in-network caching in Information-Centric Networking (ICN) for the design and real-world deployment of future networks. Towards this line, in this paper, we propose a beneficial caching scheme in ICN by storing no more than a specific number of replicas for each content. Particularly, to realize an optimal content distribution for deploying caches in ICN, a content can be cached either partially or as a full-object corresponding to its request arrival rate and data traffic. Also, we employ a utility-based replacement in each content node to keep the most recent and popular content items in the ICN interconnections. The evaluation results show that the proposal improves the cache hit rate and cache diversity considerably, and acts as a beneficial caching approach for network and service providers in ICN. Specifically, the proposed caching mechanism is easy to deploy, robust, and relevant for the content-based providers by enabling them to offer users high Quality of Service (QoS) and gain benefits at the same time.
KW - Future Internet (FI)
KW - Information-Centric Networking (ICN)
KW - content distribution
KW - in-network caching
KW - network design
KW - next-generation networking
UR - http://www.scopus.com/inward/record.url?scp=85082132361&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082132361&partnerID=8YFLogxK
U2 - 10.1109/ICOIN48656.2020.9016549
DO - 10.1109/ICOIN48656.2020.9016549
M3 - Conference contribution
AN - SCOPUS:85082132361
T3 - International Conference on Information Networking
SP - 535
EP - 540
BT - 34th International Conference on Information Networking, ICOIN 2020
PB - IEEE Computer Society
T2 - 34th International Conference on Information Networking, ICOIN 2020
Y2 - 7 January 2020 through 10 January 2020
ER -