A framework for index bulk loading and dynamization

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Abstract

In this paper we investigate automated methods for externalizing internal memory data structures.We consider a class of balanced trees that we call weight-balanced partitioning trees (or wp-trees) for indexing a set of points in RdWell-known examples of wp-trees include kdtrees, BBD-trees, pseudo-quad-trees, and BAR-trees. Given an efficient external wp-tree construction algorithm, we present a general framework for automatically obtaining a dynamic external data structure. Using this framework together with a new general construction (bulk loading) technique of independent interest, we obtain data structures with guaranteed good update performance in terms of I/O transfers. Our approach gives considerably improved construction and update I/O bounds for e.g. external kd-trees and BBD-trees. © 2011 Springer-Verlag Berlin Heidelberg.

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Agarwal, P. K., Arge, L., Procopiuc, O., & Vittery, J. S. (2001). A framework for index bulk loading and dynamization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2076 LNCS, pp. 115–127). Springer Verlag. https://doi.org/10.1007/3-540-48224-5_10

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