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Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems

Summary: Online, asymptotically optimal algorithms maintain storage balance for range-partitioned data under adversarial inserts/deletes across disks/nodes. With distributed routing, it enables range queries in P2P settings while preserving balance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9346
Venue
VLDB
Year
2004
Pagerank
0.00010787388
Overall Rank
1,438 | 90.14%
DOI
10.1016/B978-012088469-8.50041-3

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ganesan_vldb04,
        title = {{Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems}},
        author = {Ganesan, Prasanna and Bawa, Mayank and Garcia-Molina, Hector},
        journal = {PVLDB},
        series = {{VLDB} '04},
        pages = {444--455},
        doi = {10.1016/B978-012088469-8.50041-3},
        url = {https://doi.org/10.1016/B978-012088469-8.50041-3},
        year = {2004}
}

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