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Lecture Notes in Computer Science
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. In this article, we study the problem of executing the nearest neighbor(s) queries in a distributed metric structure, which is based on the P2P communication paradigm and thedoi:10.1007/978-3-540-31838-5_6 fatcat:r4icytuur5hqnhb33twbr66tpu