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From a Stream of Relational Queries to Distributed Stream Processing

Summary: ODBC-based relational workloads transformed into distributed stream processing to meet high-throughput, live data. Demonstrates minimal engineering disruption and acceleration across three applications, with gains over traditional DB-centric implementations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10214
Venue
VLDB
Year
2010
Pagerank
5.5339505e-05
Overall Rank
7,840 | 46.22%
DOI
10.14778/1920841.1921014

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zou_vldb10,
        title = {{From a Stream of Relational Queries to Distributed Stream Processing}},
        author = {Zou, Qiong and Wang, Huayong and Soulé, Robert and Hirzel, Martin and Andrade, Henrique and Gedik, Buğra and Wu, Kun-Lung},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        pages = {1394--1405},
        doi = {10.14778/1920841.1921014},
        url = {https://doi.org/10.14778/1920841.1921014},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,265 A Platform for Scalable One-Pass Analytics using MapReduce 2011 SIGMOD 8.8398946e-05
9,640 Supporting Scalable Analytics with Latency Constraints 2015 VLDB 5.2434488e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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