Stéphane Delbruel, Davide Frey, and François Taïani

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

16th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS 2016), Heraklion, Greece, June, Lecture Notes in Computer Science, volume 9687, pp. 32-46, Springer, 2016 (14p.)

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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