Finding Data in the Neighborhood
Summary: Proposes location-independent identifiers for distributed databases, backed by a distributed index and a lightweight replication strategy to dereference IDs without contacting their origin. Evaluates traversal options and benchmarks tradeoffs versus location-dependent approaches, with deployment guidance. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. André Eickler
- 2. Alfons Kemper
- 3. Donald Kossmann
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 292 | Shoring Up Persistent Applications | 1994 | SIGMOD | 0.00028741386 |
| 2,238 | Lazy Updates for Distributed Search Structure | 1993 | SIGMOD | 9.2209967e-05 |
| 2,353 | RP*: A Family of Order-Preserving Scalable Distributed Data Structures | 1994 | VLDB | 8.9752351e-05 |
| 3,804 | Distributing a Search Tree Among a Growing Number of Processors | 1994 | SIGMOD | 6.7525564e-05 |
| 4,639 | A Performance Evaluation of OID Mapping Techniques | 1995 | VLDB | 6.0284015e-05 |
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