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)
Incoming Non-self Citations Over Time
Authors
- 1. Lei Cao (Worcester Polytechnic Institute)
- 2. Elke A. Rundensteiner (Worcester Polytechnic Institute)
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 |
|---|---|---|---|---|
| 3,137 | Pushing Data-Induced Predicates Through Joins in Big-Data Clusters | 2020 | VLDB | 7.7204167e-05 |
| 9,648 | AMNES: Accelerating the computation of data correlation using FPGAs | 2023 | VLDB | 5.2430158e-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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