Abstract
In this paper we present the Slim-tree, a dynamic tree for organizing metric datasets in pages of fixed size. The Slim-tree uses the “fat-factor” which provides a simple way to quantify the degree of overlap between the nodes in a metric tree. It is well-known that the degree of overlap directly affects the query performance of index structures. There are many suggestions to reduce overlap in multidimensional index structures, but the Slim-tree is the first metric structure explicitly designed to reduce the degree of overlap.
Moreover, we present new algorithms for inserting objects and splitting nodes. The new insertion algorithm leads to a tree with high storage utilization and improved query performance, whereas the new split algorithm runs considerably faster than previous ones, generally without sacrificing search performance. Results obtained from experiments with real-world data sets show that the new algorithms of the Slim-tree consistently lead to performance improvements. After performing the Slim-down algorithm, we observed improvements up to a factor of 35% for range queries.
On leave at Carnegie Mellon University. His research has been funded by FAPESP (São Paulo State Foundation for Research Support - Brazil, under Grants 98/05556-5).
On leave at Carnegie Mellon University. Her research has been funded by FAPESP (São Paulo State Foundation for Research Support - Brazil, under Grants 98/0559-7).
His work has been supported by Grant No. SE 553/2-1 from DFG (Deutsche Forschungsgemeinschaft).
This material is based upon work supported by the National Science Foundation under Grants No. IRI-9625428, DMS-9873442, IIS-9817496, and IIS-9910606, and by the Defense Advanced Research Projects Agency under Contract No. N66001-97-C-8517. Additional funding was provided by donations from NEC and Intel. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, DARPA, or other funding parties.
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Traina, C., Traina, A., Seeger, B., Faloutsos, C. (2000). Slim-Trees: High Performance Metric Trees Minimizing Overlap between Nodes. In: Zaniolo, C., Lockemann, P.C., Scholl, M.H., Grust, T. (eds) Advances in Database Technology — EDBT 2000. EDBT 2000. Lecture Notes in Computer Science, vol 1777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46439-5_4
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DOI: https://doi.org/10.1007/3-540-46439-5_4
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