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Peer-Assisted Information-Centric Network (PICN): A Backward Compatible Solution

Authors :
Massoud Reza Hashemi
Zeinab Zali
Thierry Turletti
Mohammad Hossein Manshaei
Ehsan Aslanian
Isfahan University of Technology
Design, Implementation and Analysis of Networking Architectures (DIANA)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source :
IEEE Access, IEEE Access, IEEE, 2017, 5, pp.25005-25020. ⟨10.1109/ACCESS.2017.2762697⟩, IEEE Access, 2017, 5, pp.25005-25020. ⟨10.1109/ACCESS.2017.2762697⟩, IEEE Access, Vol 5, Pp 25005-25020 (2017)
Publication Year :
2017
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2017.

Abstract

Information-centric networking (ICN) is a promising solution for most of Internet applications where the content represents the core of the application. However, the proposed solutions for the ICN architecture are associated with many complexities including pervasive caching in the Internet and incompatibility with legacy IP networks, so the deployment of ICN in real networks is still an open problem. In this paper, we propose a backward-compatible ICN architecture to address the caching issue in particular. The key idea is implementing edge caching in ICN, using a coalition of end clients and edge servers. Our solution can be deployed in IP networks with HTTP requests. We performed a trace-driven simulation for analyzing peer-assisted information-centric networking (PICN) benefits using IRCache and Berkeley trace files. The results show that on average, PICN decreases the latency for 78% and increases the content retrieval speed for 69% compared with a direct download from the original Web servers. When comparing PICN with a solution based on central proxy servers, we show that the hit ratio obtained using a small cache size in each PICN client is almost 14% higher than the hit ratio obtained with a central proxy server using an unlimited cache storage.

Details

ISSN :
21693536
Volume :
5
Database :
OpenAIRE
Journal :
IEEE Access
Accession number :
edsair.doi.dedup.....5523ce92a4a73838238ea601c3f357b8
Full Text :
https://doi.org/10.1109/access.2017.2762697