Adaptive peer sampling with newscast

Norbert Tölgyesi, Márk Jelasity

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)

Abstract

The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, data aggregation and overlay topology management. Lightweight gossip-based implementations of the peer sampling service have been shown to provide good quality random sampling while also being extremely robust to many failure scenarios, including node churn and catastrophic failure. We identify two problems with these approaches. The first problem is related to message drop failures: if a node experiences a higher-than-average message drop rate then the probability of sampling this node in the network will decrease. The second problem is that the application layer at different nodes might request random samples at very different rates which can result in very poor random sampling especially at nodes with high request rates. We propose solutions for both problems. We focus on Newscast, a robust implementation of the peer sampling service. Our solution is based on simple extensions of the protocol and an adaptive self-control mechanism for its parameters, namely-without involving failure detectors-nodes passively monitor local protocol events using them as feedback for a local control loop for self-tuning the protocol parameters. The proposed solution is evaluated by simulation experiments.

Original languageEnglish
Title of host publicationEuro-Par 2009 Parallel Processing - 15th International Euro-Par Conference, Proceedings
Pages523-534
Number of pages12
DOIs
Publication statusPublished - Nov 9 2009
EventEuro-Par 2009 Parallel Processing - 15th International Euro-Par Conference, Proceedings - Delft, Netherlands
Duration: Aug 25 2009Aug 28 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5704 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherEuro-Par 2009 Parallel Processing - 15th International Euro-Par Conference, Proceedings
CountryNetherlands
CityDelft
Period8/25/098/28/09

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Tölgyesi, N., & Jelasity, M. (2009). Adaptive peer sampling with newscast. In Euro-Par 2009 Parallel Processing - 15th International Euro-Par Conference, Proceedings (pp. 523-534). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5704 LNCS). https://doi.org/10.1007/978-3-642-03869-3_50