Using Centrality Metrics to Predict Peer Cooperation in Live Streaming Applications

Abstract : The lack of cooperation in Peer-to-Peer (P2P) applications poses serious challenges to the quality of service provided to their clients, specifically in P2P live streaming applications given their strict real-time constraints. We here investigate the potential of exploiting topological properties of the P2P overlay network to predict the level of cooperation of a peer, measured by the ratio of the upload to the download traffic during a pre-defined time window. Using data collected from SopCast, we first show that centrality metrics provide good evidence of a peer’s cooperation level in the system. We then develop a regression-based model that is able to estimate, with reasonable accuracy, the level of cooperation of a peer in the near future given its centrality measures in the recent past. Our proposed strategy complements existing incentive mechanisms for cooperation in P2P live streaming, and can be applied to detect non-cooperative peers.
Complete list of metadatas

Cited literature [20 references]  Display  Hide  Download

https://hal.inria.fr/hal-01531962
Contributor : Hal Ifip <>
Submitted on : Friday, June 2, 2017 - 11:23:20 AM
Last modification on : Friday, June 2, 2017 - 11:25:01 AM
Long-term archiving on : Wednesday, December 13, 2017 - 8:59:10 AM

File

978-3-642-30054-7_7_Chapter.pd...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Glauber Gonçalves, Anna Guimarães, Alex Vieira, Ítalo Cunha, Jussara Almeida. Using Centrality Metrics to Predict Peer Cooperation in Live Streaming Applications. 11th International Networking Conference (NETWORKING), May 2012, Prague, Czech Republic. pp.84-96, ⟨10.1007/978-3-642-30054-7_7⟩. ⟨hal-01531962⟩

Share

Metrics

Record views

62

Files downloads

48