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16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS) held as part of the 11th International Federated Conference on Distributed Computing Techniques (DisCoTec), Date: 2016/06/04 - 2016/06/07, Location: GREECE, Heraklion

Publication date: 2016-01-01
Volume: 9687 Pages: 32 - 46
ISSN: 978-3-319-39576-0
Publisher: Springer Verlag

DISTRIBUTED APPLICATIONS AND INTEROPERABLE SYSTEMS, DAIS 2016

Author:

Delbruel, Stephane
Frey, Davide ; Taiani, Francois ; Jelasity, M ; Kalyvianaki, E

Keywords:

Science & Technology, Technology, Computer Science, Information Systems, Computer Science, Software Engineering, Computer Science, Theory & Methods, Computer Science, Decentralized systems, Content consumption, Estimation

Abstract:

© IFIP International Federation for Information Processing 2016. Although many fully decentralized content distribution systems have been proposed, they often lack key capabilities that make them difficult to deploy and use in practice. In this paper, we look at the particular problem of content consumption prediction, a crucial mechanism in many such systems. We propose a novel, fully decentralized protocol that uses the tags attached by users to on-line content, and exploits the properties of self-organizing kNN overlays to rapidly estimate the potential of a particular content without explicit aggregation.