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

  • Stéphane Delbruel
  • Davide Frey
  • François Taïani
Conference paper

DOI: 10.1007/978-3-319-39577-7_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9687)
Cite this paper as:
Delbruel S., Frey D., Taïani F. (2016) Mignon: A Fast Decentralized Content Consumption Estimation in Large-Scale Distributed Systems. In: Jelasity M., Kalyvianaki E. (eds) Distributed Applications and Interoperable Systems. Lecture Notes in Computer Science, vol 9687. Springer, Cham

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.

Keywords

Decentralized systems Content consumption Estimation 

Copyright information

© IFIP International Federation for Information Processing 2016

Authors and Affiliations

  • Stéphane Delbruel
    • 1
  • Davide Frey
    • 2
  • François Taïani
    • 1
  1. 1.Université de Rennes 1, IRISA – ESIRRennesFrance
  2. 2.InriaRennesFrance

Personalised recommendations