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Description
  • Similarity search in metric spaces represents an important paradigm for content-based retrieval of many applications. Existing centralized search structures can speed-up retrieval, but they do not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. The proposed GHT* index is a scalable and distributed structure. By exploiting parallelism in a dynamic network of computers, the GHT* achieves practically constant search time for similarity range queries in data-sets of arbitrary size. The structure also scales well with respect to the growing volume of retrieved data. Moreover, a small amount of replicated routing information on each server increases logarithmically. At the same time, the potential for interquery parallelism is increasing with the growing data-sets because the relative number of servers utilized by individual queries is decreasing.
  • Similarity search in metric spaces represents an important paradigm for content-based retrieval of many applications. Existing centralized search structures can speed-up retrieval, but they do not scale up to large volume of data because the response time is linearly increasing with the size of the searched file. The proposed GHT* index is a scalable and distributed structure. By exploiting parallelism in a dynamic network of computers, the GHT* achieves practically constant search time for similarity range queries in data-sets of arbitrary size. The structure also scales well with respect to the growing volume of retrieved data. Moreover, a small amount of replicated routing information on each server increases logarithmically. At the same time, the potential for interquery parallelism is increasing with the growing data-sets because the relative number of servers utilized by individual queries is decreasing. (en)
Title
  • Similarity Grid for Searching in Metric Spaces
  • Similarity Grid for Searching in Metric Spaces (en)
skos:prefLabel
  • Similarity Grid for Searching in Metric Spaces
  • Similarity Grid for Searching in Metric Spaces (en)
skos:notation
  • RIV/00216224:14610/05:00013400!RIV10-AV0-14610___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419)
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
  • 542624
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14610/05:00013400
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • distributed data; scalable structures; similarity search; metric space (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [BB6441A4C55D]
http://linked.open...v/mistoKonaniAkce
  • Cagliari
http://linked.open...i/riv/mistoVydani
  • Berlin
http://linked.open...i/riv/nazevZdroje
  • Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures: 6th Thematic Workshop of the EU Network of Excellence DELOS. Revised Selected Papers. LNCS 3664
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
  • Batko, Michal
  • Zezula, Pavel
  • Gennaro, Claudio
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000232268700003
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag. Heidelberg
https://schema.org/isbn
  • 3-540-28711-6
http://localhost/t...ganizacniJednotka
  • 14610
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