http://www.cnr.it/ontology/cnr/individuo/prodotto/ID44130
Similarity Grid for searching in metric spaces (Articolo in rivista)
- Type
- Label
- Similarity Grid for searching in metric spaces (Articolo in rivista) (literal)
- Anno
- 2005-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/11549819_3 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Batko M.; Gennaro C.; Zezula P. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.springerlink.com/content/7jhbab2wvxptue4v/ (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- In: Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures. pp. 25 - 44. Can Türker, Maristella Agosti, Hans-Jörg Schek (eds.). (Lecture Notes in Computer Science, vol. 3664). Berlin / Heidelberg: Springer, 2005. (literal)
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Masaryk University, Brno, Czech Republic, CNR-ISTI, Pisa, Masaryk University, Brno, Czech Republic (literal)
- Titolo
- Similarity Grid for searching in metric spaces (literal)
- Abstract
- 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. All these properties are verified by experiments on a prototype system using real-life data-sets. (literal)
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- Autore CNR
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