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  • We introduce a self-organizing similarity search system for a large-scale unstructured peer-to-peer network, called the Metric Social Network. This system does not rely on any centralized control and does not define any data clustering or partitioning principle. It combines multiple strategies into a single system which results in abilities to scale to a large number of peers, to adapt to different data distributions, and to be robust to abrupt peer disconnections. We prove these abilities by running various experimental trials on real-life, as well as, synthetic data sets stored on up to 2,000 peers. Additionally, different data distributions among the peers, ranging from clustered to totally non-clustered and real-life data distributions, are also considered.
  • We introduce a self-organizing similarity search system for a large-scale unstructured peer-to-peer network, called the Metric Social Network. This system does not rely on any centralized control and does not define any data clustering or partitioning principle. It combines multiple strategies into a single system which results in abilities to scale to a large number of peers, to adapt to different data distributions, and to be robust to abrupt peer disconnections. We prove these abilities by running various experimental trials on real-life, as well as, synthetic data sets stored on up to 2,000 peers. Additionally, different data distributions among the peers, ranging from clustered to totally non-clustered and real-life data distributions, are also considered. (en)
Title
  • On Investigating Scalability and Robustness in a Self-organizing Retrieval System
  • On Investigating Scalability and Robustness in a Self-organizing Retrieval System (en)
skos:prefLabel
  • On Investigating Scalability and Robustness in a Self-organizing Retrieval System
  • On Investigating Scalability and Robustness in a Self-organizing Retrieval System (en)
skos:notation
  • RIV/00216224:14330/11:00049902!RIV12-MV0-14330___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), P(GAP103/10/0886), P(VF20102014004)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 218054
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/11:00049902
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • similarity search; scalability; robustness; self-organization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F1A7262E1467]
http://linked.open...v/mistoKonaniAkce
  • Glasgow, Scotland, UK
http://linked.open...i/riv/mistoVydani
  • New York, NY 10087-0777
http://linked.open...i/riv/nazevZdroje
  • Proceedings of CIKM 2011 and the co-located Workshops
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sedmidubský, Jan
  • Zezula, Pavel
  • Dohnal, Vlastislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM Digital Library
https://schema.org/isbn
  • 978-1-4503-0717-8
http://localhost/t...ganizacniJednotka
  • 14330
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