Mignon: A Fast Decentralized Content Consumption Estimation in Large-Scale Distributed Systems
Stéphane Delbruel, Davide Frey, François Taı̈ani · Lecture notes in computer science · 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 k NN overlays to rapidly estimate the potential of a particular content without explicit aggregation.