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Distributing a Search Tree Among a Growing Number of Processors

Summary: Proposes a scalable distributed search tree preserving ordered queries (range, nearest neighbor), overcoming limits of prior distributed linear-hashing variants. Empirical results show strong storage utilization and fast query performance at scale, highlighting the need for a formal theory of scalable distributed data structures. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2733
Venue
SIGMOD
Year
1994
Pagerank
6.7461245e-05
Overall Rank
3,806 | 73.55%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,360 RP*: A Family of Order-Preserving Scalable Distributed Data Structures 1994 VLDB 8.9670833e-05
3,400 Towards Self-Tuning Data Placement in Parallel Database Systems 2000 SIGMOD 7.1346268e-05
3,964 Guaranteeing Correctness and Availability in P2P Range Indices 2005 SIGMOD 6.5813475e-05
12,782 Finding Data in the Neighborhood 1997 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2,243 Lazy Updates for Distributed Search Structure 1993 SIGMOD 9.212156e-05
2,879 LH* - Linear Hashing for Distributed Files 1993 SIGMOD 7.9685334e-05
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