Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions
Summary: Integrated vertical data migration for near-line archives uses a continuous-time Markov-chain model to predict document accesses and drive speculative preloading with secondary-storage replacement. Online statistics adapt model parameters and co-access patterns, with a prototype and simulations showing latency gains and affordable overhead. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Achim Kraiss (University of the Saarland)
- 2. Gerhard Weikum (University of the Saarland)
BibTeX Citation
@article{kraiss_vldb97,
title = {{Vertical Data Migration in Large Near-Line Document Archives Based on Markov-Chain Predictions}},
author = {Kraiss, Achim and Weikum, Gerhard},
journal = {PVLDB},
series = {{VLDB} '97},
year = {1997}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,932 | Performance Measurements of Tertiary Storage Devices | 1998 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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