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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)

Paper ID
8616
Venue
VLDB
Year
1997
Pagerank
5.3766157e-05
Overall Rank
8,768 | 39.85%
DOI
-

Incoming Non-self Citations Over Time

Authors

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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