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Workload Optimization using SharedDB

Summary: SharedDB executes SQL operators in batches with cross-query sharing across all running queries, instead of one-at-a-time. It enables sharing without requiring common subexpressions, reducing inter-query interference and handling diverse workloads with higher throughput. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4674
Venue
SIGMOD
Year
2013
Pagerank
5.576956e-05
Overall Rank
7,637 | 47.61%
DOI
10.1145/2463676.2463678

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{giannikis_sigmod13,
        title = {{Workload Optimization using SharedDB}},
        author = {Giannikis, Georgios and Alonso, Gustavo and Makreshanski, Darko and Kossmann, Donald},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2463678},
        url = {https://dl.acm.org/doi/10.1145/2463676.2463678},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,398 Real-time Workload Pattern Analysis for Large-scale Cloud Databases 2023 VLDB 6.7248611e-05
6,391 Fast-Forwarding to Desired Visualizations with zenvisage 2017 CIDR 5.8893647e-05
7,856 AJoin: Ad-hoc Stream Joins at Scale 2020 VLDB 5.5306709e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
670 SharedDB: Killing One Thousand Queries With One Stone 2012 VLDB 0.00015157572
1,879 Predictable Performance for Unpredictable Workloads 2009 VLDB 9.5613416e-05
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