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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Communication dans un congrès
Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Greece. Springer, Lecture Notes in Computer Science, LNCS-9687, pp.32-46, 2016, Distributed Applications and Interoperable Systems. 〈http://2016.discotec.org/index.php〉. 〈10.1007/978-3-319-39577-7_3〉
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Stéphane Delbruel, Davide Frey, François Taïani. Mignon: A Fast Decentralized Content Consumption Estimation in Large-Scale Distributed Systems. Márk Jelasity; Evangelia Kalyvianaki. 16th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems (DAIS), Jun 2016, Heraklion, Greece. Springer, Lecture Notes in Computer Science, LNCS-9687, pp.32-46, 2016, Distributed Applications and Interoperable Systems. 〈http://2016.discotec.org/index.php〉. 〈10.1007/978-3-319-39577-7_3〉. 〈hal-01301230〉

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