A Collaborative Cache Preloading Algorithm Based on Data Correlation in the Content Centric Networking

DOI

10.2991/anit-17.2018.17How to use a DOI?

Keywords

Content Centric Networking, collaborative caching, preloading

Abstract

Content Centric Networking is a new type of network architecture, which is developed for the scalability and content distribution of the TCP/IP protocol over the Internet. Each node in the network has the ability of data caching, intermediate nodes and content providers can response to content request. The strategy of content caching is a core issue of the content centric networking. If the data of higher access possibility are preloaded into the cache node, the delay of data request will be reduced. In this paper, a correlation based cache preloading algorithm in Content Centric Networking is purposed. Based on the analysis of user's access behavior, the relationship among the data fragments is described by relevancy. Simulation experiment shows that the proposed algorithm can reduce the delay time of data request by about 9.57% in the case of data fragments with high correlation.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wanjin Xu
AU  - Jianyong Sun
AU  - Haifei Qin
AU  - Chunlin Wang
AU  - Xiaolin Chen
PY  - 2017/12
DA  - 2017/12
TI  - A Collaborative Cache Preloading Algorithm Based on Data Correlation in the Content Centric Networking
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 90
EP  - 100
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.17
DO  - 10.2991/anit-17.2018.17
ID  - Xu2017/12
ER  -