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Continuous Prefetch for Interactive Data Applications

Summary: Khameleon enables continuous prefetch with progressive encoding and a live scheduler streaming partial results for interactive viz. Greedy scheduling optimizes latency-quality trade-offs; outperforms perfect-prediction prefetching across networks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12305
Venue
VLDB
Year
2020
Pagerank
5.6029996e-05
Overall Rank
7,510 | 48.48%
DOI
10.14778/3407790.3407826

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{mohammed_vldb20,
        title = {{Continuous Prefetch for Interactive Data Applications}},
        author = {Mohammed, Haneen and Wei, Ziyun and Wu, Eugene and Netravali, Ravi},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2297--2311},
        doi = {10.14778/3407790.3407826},
        url = {https://doi.org/10.14778/3407790.3407826},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,728 Mosaic: An Architecture for Linking Databases and Scalable Interactive Visualizations 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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