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: h034deca108ea4830
Venue: SIGMOD
Year: 2013
Pagerank: 5.4495763e-05
Overall Rank: 7,797 | 47.60%
DOI: 10.1145/2463676.2463678

Incoming Non-self Citations Over Time

Authors

1. Georgios Giannikis (ETH Zurich)
2. Gustavo Alonso (ETH Zurich)
3. Darko Makreshanski (ETH Zurich)
4. Donald Kossmann (ETH Zurich)

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
4,470	Real-time Workload Pattern Analysis for Large-scale Cloud Databases	2023	VLDB	6.5833414e-05
6,519	Fast-Forwarding to Desired Visualizations with zenvisage	2017	CIDR	5.755832e-05
8,019	AJoin: Ad-hoc Stream Joins at Scale	2020	VLDB	5.4045347e-05

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
669	SharedDB: Killing One Thousand Queries With One Stone	2012	VLDB	0.00014975391
1,918	Predictable Performance for Unpredictable Workloads	2009	VLDB	9.375192e-05

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9	2,225	Shared Workload Optimization	2014	VLDB
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