Database Partitioning In A Cluster Of Processors
Summary: Partitioning a database across a processor cluster is studied using an assumed scheduling algorithm to estimate inter-processor costs for distributed transactions. Formulates the allocation problem, proves intrinsic complexity, and presents greedy first-fit heuristics with analysis. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Domenico SaccĂ
- 2. Gio Wiederhold
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Extending the Data Base Relational Model to Capture More Meaning | 1979 | SIGMOD | 0.0015464728 |
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| 2,620 | Distributing A Database For Parallelism | 1983 | SIGMOD | 8.4426302e-05 |
| 3,265 | On Optimal Processor Allocation To Support Pipelined Hash Joins | 1993 | SIGMOD | 7.3055541e-05 |
| 1,674 | Scheduling Problems in Parallel Query Optimization | 1995 | PODS | 0.00010939926 |
| 13,068 | File Allocation in Distributed Databases with Interaction between Files | 1983 | VLDB | 4.1905499e-05 |
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