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The hB-Pi-tree: A Modified hB-tree Supporting Concurrency, Recovery and Node Consolidation

Summary: hB-Pi-tree adapts the dimensionality-insensitive, multi-attribute hB-tree to Pi-tree protocols, correcting split/post flaws while enabling high-concurrency recovery through short atomic structural actions. Adds node consolidation, making it viable for general-purpose spatial and multidimensional DBMSs. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8489
Venue
VLDB
Year
1995
Pagerank
5.6494751e-05
Overall Rank
7,310 | 49.85%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{evangelidis_vldb95,
        title = {{The hB-Pi-tree: A Modified hB-tree Supporting Concurrency, Recovery and Node Consolidation}},
        author = {Evangelidis, Georgios and Lomet, David and Salzberg, Betty},
        journal = {PVLDB},
        series = {{VLDB} '95},
        pages = {551},
        year = {1995}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
896 On Indexing Mobile Objects 1999 PODS 0.0001334014
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0020210012
42 The R+-Tree: A Dynamic Multi-Dimensional Index for Objects 1987 VLDB 0.00046170812
253 A Class of Data Structures for Associative Searching 1984 PODS 0.00023200431
650 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00015319951
1,663 Performance of B-Tree Concurrency Control Algorithms 1991 SIGMOD 0.00010073735
3,114 Access Method Concurrency with Recovery 1992 SIGMOD 7.7405805e-05
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