Istituto di Scienza e Tecnologie dell'Informazione     
Batko M., Gennaro C., Zezula P. Similarity Grid for searching in metric spaces. Can Türker, Maristella Agosti, Hans-Jörg Schek (eds.). (Lecture Notes in Computer Science, vol. 3664). Berlin / Heidelberg: Springer, 2005.
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.
URL: http://www.springerlink.com/content/22vv26wu1lye/?p=9d6b4c4db14d4f36a7f7b3c13b5a67f3&pi=0
DOI: 10.1007/11549819_3
Subject Grid
Similarity Search
Metric Space
H.3.3 Information Search and Retrieval
H.3.4 Systems and Software

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