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Information Resilience through User-Assisted Caching in Disruptive Content-Centric Networks

Sourlas, V; Tassiulas, L; Psaras, I; Pavlou, G; (2015) Information Resilience through User-Assisted Caching in Disruptive Content-Centric Networks. In: Kacimi, R and Mammeri, Z, (eds.) Proceedings of 2015 IFIP Networking Conference (IFIP Networking). IFIP/IEEE: Toulouse, France. Green open access

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Abstract

We investigate an information-resilience scheme in the context of Content-Centric Networks (CCN) for the retrieval of content in disruptive, fragmented networks cases. To resolve and fetch content when the origin is not available due to fragmentation, we exploit content cached both in in-network caches and in end-users’ devices. Initially, we present the required modifications in the CCN architecture to support the proposed resilience scheme. We also present the family of policies that enable the retrieval of cached content and we derive an analytical expression/lower bound of the probability that an information item will disappear from the network (be absorbed) and the time to absorption when the origin of the item is not reachable. Extensive simulations indicate that the proposed resilience scheme is a valid tool for the retrieval of cached content in disruptive scenarios, since it allows the retrieval of content for a long period after the fragmentation of the network and the “disappearance” of the content origin.

Type: Proceedings paper
Title: Information Resilience through User-Assisted Caching in Disruptive Content-Centric Networks
Event: IFIP Networking Conference
Location: Toulouse, FRANCE
Dates: 20 May 2015 - 22 May 2015
ISBN-13: 978301882685
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/IFIPNetworking.2015.7145301
Publisher version: http://dx.doi.org/10.1109/IFIPNetworking.2015.7145...
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Science & technology, technology, computer science, information systems, computer science, content-centric networks, in-network caching, disaster scenarios, Markov processes.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1502006
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