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Automated Clustering Recommendation With Database Zone Maps

Summary: Automates clustering choice by analyzing workload and recommending linear and z-order clustering plus zone maps. Shows substantial gains on TPC-H and real data; first auto-clustering approach, to be released in Oracle Autonomous Database. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6867
Venue
SIGMOD
Year
2024
Pagerank
5.2209769e-05
Overall Rank
9,779 | 32.91%
DOI
10.1145/3626246.3653397

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{budalakoti_sigmod24,
        title = {{Automated Clustering Recommendation With Database Zone Maps}},
        author = {Budalakoti, Suratna and Ziauddin, Mohamed and Witkowski, Andrew and Kim, You Jung and Krishnamachari, Ramarajan and Wood, Alan},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3626246.3653397},
        url = {https://dl.acm.org/doi/10.1145/3626246.3653397},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,306 Workload-Aware Incremental Reclustering in Cloud Data Warehouses 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
259 Database Cracking 2007 CIDR 0.00023119313
288 Towards Estimation Error Guarantees for Distinct Values 2000 PODS 0.00022296371
1,135 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00012032847
3,035 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 7.8297746e-05
4,329 Dimensions Based Data Clustering and Zone Maps 2017 VLDB 6.75682e-05
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