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Conference Papers Year : 2016

Mignon: A Fast Decentralized Content Consumption Estimation in Large-Scale Distributed Systems

Abstract

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.
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Dates and versions

hal-01301230 , version 1 (11-04-2016)

Licence

Attribution - NonCommercial

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Stéphane Delbruel, Davide Frey, François Taïani. Mignon: A Fast Decentralized Content Consumption Estimation in Large-Scale Distributed Systems. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Greece. pp.32-46, ⟨10.1007/978-3-319-39577-7_3⟩. ⟨hal-01301230⟩
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