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@inproceedings{556798,
author = {Batko, Michal and Gennaro, Claudio and Pasquale, Savino and Zezula, Pavel},
address = {Cagliari},
booktitle = {Pre-proceedings of the Sixth Thematic Workshop of the EU Network of Excellence DELOS},
keywords = {distributed data; scalable structures; similarity search; metric space},
language = {eng},
location = {Cagliari},
pages = {213-224},
publisher = {Edizioni Progetto Padova},
title = {Scalable Similarity Search in Metric Spaces},
year = {2004}
}
TY - JOUR
ID - 556798
AU - Batko, Michal - Gennaro, Claudio - Pasquale, Savino - Zezula, Pavel
PY - 2004
TI - Scalable Similarity Search in Metric Spaces
PB - Edizioni Progetto Padova
CY - Cagliari
KW - distributed data
KW - scalable structures
KW - similarity search
KW - metric space
N2 - 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 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.
ER -
BATKO, Michal, Claudio GENNARO, Savino PASQUALE and Pavel ZEZULA. Scalable Similarity Search in Metric Spaces. In \textit{Pre-proceedings of the Sixth Thematic Workshop of the EU Network of Excellence DELOS}. Cagliari: Edizioni Progetto Padova, 2004, p.~213-224.
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