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Index Maintenance Strategy and Cost Model for Extended Cluster Pruning

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With today’s dynamic multimedia collections, maintenance of high-dimensional indexes is an important, yet understudied topic. Extended Cluster Pruning (eCP) is a highly-scalable approximate indexing approach based on clustering, that is targeted at stable performance in a disk-based scenario. In this work, we propose an index maintenance strategy for the eCP index, which utilizes the tree structure of the index and its approximate nature. We then develop a cost model for the strategy and evaluate its cost using a simulation model.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Similarity Search and Applications (SISAP)
Number of pages8
PublisherSpringer
Publication dateOct 2019
Pages32-39
ISBN (Electronic)978-3-030-32046-1
DOIs
Publication statusPublished - Oct 2019
SeriesLecture Notes in Computer Science
Volume11807
ISSN0302-9743

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