Cache management strategy for CCN based on content popularity

César Bernardini, Thomas Silverston, Olivier Festor

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

Content Centric Networking is a promising architecture for the Future Internet to deliver content at large-scale. It relies on named data and caching features which consists of storing content across the delivery path to serve forthcoming requests. As some content is more likely to be requested than other, caching only popular content may help to manage the cache of CCN nodes. In this paper, we present our new caching strategy adapted to CCN and based on the popularity of content. We show through simulation experiments that our strategy is able to cache less content while it still achieves a higher Cache Hit and outperforms existing default caching strategy in CCN.

元の言語English
ホスト出版物のタイトルEmerging Management Mechanisms for the Future Internet - 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013, Proceedings
ページ92-95
ページ数4
DOI
出版物ステータスPublished - 2013
外部発表Yes
イベント7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013 - Barcelona, Spain
継続期間: 2013 6 252013 6 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7943 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Other

Other7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013
Spain
Barcelona
期間13/6/2513/6/28

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Bernardini, C., Silverston, T., & Festor, O. (2013). Cache management strategy for CCN based on content popularity. : Emerging Management Mechanisms for the Future Internet - 7th IFIP WG 6.6 International Conference on Autonomous Infrastructure, Management, and Security, AIMS 2013, Proceedings (pp. 92-95). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 7943 LNCS). https://doi.org/10.1007/978-3-642-38998-6_12