Zhang, Xu, Wang, Ning, Vassilakis, Vassilios and Howarth, Michael (2015) Decision-making for in-network caching of peer-to-peer content chunks: an analytical modelling study. In: 5th International Conference on the Network of the Future (NOF), 03-05 Dec 2014, Paris, France.

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Abstract

In-network content caching has recently emerged in the context of Information-Centric Networking (ICN), which allows content objects to be cached at the content router side. In this paper, we specifically focus on in-network caching of Peer-to-Peer (P2P) content objects for improving both service and operation efficiencies. We propose an intelligent in-network caching scheme of P2P content chunks, aiming to reduce P2P-based content traffic load and also to achieve improved content distribution performance. Towards this end, the proposed holistic decision-making logic takes into account context information on the P2P characteristics such as chunk availability. In addition, we also analyse the benefit of coordination between neighbouring content routers when making caching decisions in order to avoid duplicated P2P chunk caching nearby. An analytical modelling framework is developed to quantitatively evaluate the efficiency of the proposed in-network caching scheme.

Item Type:	Conference or Workshop Item (Paper)
ISBN:	9781479975310
Identifier:	10.1109/NOF.2014.7119779
Identifier:	10.1109/NOF.2014.7119779
Additional Information:	© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords:	Peer-to-peer computing, Redundancy, Context, Analytical models, Decision making, Markov processes, Data models
Subjects:	Computing
Depositing User:	Vasileios Vasilakis
Date Deposited:	07 Aug 2016 18:47
Last Modified:	04 Nov 2024 12:36
URI:	https://repository.uwl.ac.uk/id/eprint/2824

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