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Providing Information Resilience Through Modularity-Based Caching in Perturbed Information-Centric Networks

Chai, WK; Sourlas, V; Pavlou, G; (2017) Providing Information Resilience Through Modularity-Based Caching in Perturbed Information-Centric Networks. In: Proceedings of the 29th International Teletraffic Congress (ITC 29). (pp. pp. 214-222). IEEE: Genoa, Italy. Green open access

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Abstract

In this paper, we investigate the provision of a new form of resilience, namely information resilience - targeting reliable communication of information under normal and adverse network conditions. We harness the power and flexibility of information-centric networking (ICN) paradigm where content are named and can be explicitly identified as opposed to the current host-centric Internet. Using ICN principles, a new modularity-based information caching approach is proposed that leverages the concept of modularity such that information reachability and persistency are enhanced especially under perturbed network scenarios, e.g., network failures due to natural disasters or network under malicious attacks. The main idea of our proposal is to exploit the better connectivity of nodes within certain community construct in a network to provide higher information diversity, and thus allow potential access to a higher number of information objects even under various network dynamics. We conduct extensive simulations based on both real and model network topologies and show that our proposal can significantly increase request satisfaction ratios under highly dynamic network scenarios (i.e., network under multiple perturbations) across different system parameters.

Type: Proceedings paper
Title: Providing Information Resilience Through Modularity-Based Caching in Perturbed Information-Centric Networks
Event: Teletraffic Congress (ITC 29), 2017 29th International
ISBN-13: 9780988304536
Open access status: An open access version is available from UCL Discovery
DOI: 10.23919/ITC.2017.8064358
Publisher version: http://dx.doi.org/10.23919/ITC.2017.8064358
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: Resilience, Proposals, Partitioning algorithms, Reliability, Measurement, Clustering algorithms, Servers
UCL classification: UCL > Provost and Vice Provost Offices
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: http://discovery.ucl.ac.uk/id/eprint/10041992
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