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https://ruomo.lib.uom.gr/handle/7000/1211
Title: | The hB^Pi -tree: a multi-attribute index supporting concurrency, recovery and node consolidation |
Authors: | Evangelidis, Georgios Lomet, David B. Salzberg, Betty |
Type: | Article |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Multi-attribute index Concurrency Recovery Node consolidation |
Issue Date: | 1997 |
Source: | The VLDB Journal The International Journal on Very Large Data Bases |
Volume: | 6 |
Issue: | 1 |
First Page: | 1 |
Last Page: | 25 |
Abstract: | We propose a new multi-attribute index. Our approach combines the hB-tree, a multi-attribute index, and the Π-tree, an abstract index which offers efficient concurrency and recovery methods. We call the resulting method the hBΠ-tree. We describe several versions of the hBΠ-tree, each using a different node-splitting and index-term-posting algorithm. We also describe a new node deletion algorithm. We have implemented all the versions of the hBΠ-tree. Our performance results show that even the version that offers no performance guarantees, actually performs very well in terms of storage utilization, index size (fan-out), exact-match and range searching, under various data types and distributions. We have also shown that our index is fairly insensitive to increases in dimension. Thus, it is suitable for indexing high-dimensional applications. This property and the fact that all our versions of the hBΠ-tree can use the Π-tree concurrency and recovery algorithms make the hBΠ-tree a promising candidate for inclusion in a general-purpose DBMS. |
URI: | https://doi.org/10.1007/s007780050030 https://ruomo.lib.uom.gr/handle/7000/1211 |
ISSN: | 1066-8888 0949-877X |
Other Identifiers: | 10.1007/s007780050030 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
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1997_vldbj.pdf | 251,95 kB | Adobe PDF | View/Open |
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