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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
8302
Venue
VLDB
Year
1995
Pagerank
6.7950057e-05
Overall Rank
3,742 | 74.00%
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
667 The Sequoia 2000 Storage Benchmark 1993 SIGMOD 0.00018431008
2,705 Managing Persistent Objects in a Multi-Level Store 1991 SIGMOD 8.2655619e-05
5,539 Tapes Hold Data, Too: Challenges of Tuples on Tertiary Store 1993 SIGMOD 5.45182e-05
6,215 Reading a Set of Disk Pages 1993 VLDB 5.1479217e-05
6,387 Predictions and Challenges for Database Systems in the Year 2000 1993 VLDB 5.0813653e-05
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