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High Performance Stream Query Processing With Correlation-Aware Partitioning

Summary: Presents CMR, a practical correlation-aware multi-route optimizer for streaming data. It uses intra- and inter-stream correlations to partition data into route-specific plans and prune search, achieving up to 10x faster optimization and runtime. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h14e048a07aad4879
Venue
VLDB
Year
2014
Pagerank
5.2176811e-05
Overall Rank
9,154 | 38.46%
DOI
10.14778/2732269.2732273

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{cao_vldb14,
        title = {{High Performance Stream Query Processing With Correlation-Aware Partitioning}},
        author = {Cao, Lei and Rundensteiner, Elke A.},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {4},
        pages = {265--276},
        doi = {10.14778/2732269.2732273},
        url = {https://doi.org/10.14778/2732269.2732273},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,073 Pushing Data-Induced Predicates Through Joins in Big-Data Clusters 2020 VLDB 7.6777283e-05
9,827 AMNES: Accelerating the computation of data correlation using FPGAs 2023 VLDB 5.1249969e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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