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

Stéphane Delbruel (1) , Davide Frey (2) , François Taïani (1)

1 ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
2 G2ELab - Laboratoire de Génie Electrique de Grenoble

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.

Mots clés: Decentralized systems; Content consumption; Estimation

Domaines: Réseaux sociaux et d'information [cs.SI]

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⟩