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Query Processing in Tertiary Memory Databases

Summary: Unified query processing for tertiary storage through scheduling, caching, and data-retrieval order. Device-parameterized, portable algorithms implemented in a Postgres prototype yield substantial access-time reductions over traditional approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
8301
Venue
VLDB
Year
1995
Pagerank
6.8015038e-05
Overall Rank
3,740 | 73.99%
DOI
-

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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
668 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00018430721
2,701 Managing Persistent Objects in a Multi-Level Store 1991 SIGMOD 8.2726676e-05
5,528 Tapes Hold Data, Too: Challenges of Tuples on Tertiary Store 1993 SIGMOD 5.4570591e-05
6,218 Reading a Set of Disk Pages 1993 VLDB 5.1528637e-05
6,386 Predictions and Challenges for Database Systems in the Year 2000 1993 VLDB 5.0862547e-05
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