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Comprehensive and Efficient Workload Compression

Summary: Construct a representative workload from an input analytical workload with guarantees on representativity and coverage. A greedy, approximation-guaranteed algorithm solves the NP-hard problem, preserving distributions and outliers, and compares with sampling and clustering. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h771f5e8b77b2b15b
Venue
VLDB
Year
2021
Pagerank
7.0075744e-05
Overall Rank
3,815 | 74.36%
DOI
10.14778/3430915.3430931

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{deep_vldb21,
        title = {{Comprehensive and Efficient Workload Compression}},
        author = {Deep, Shaleen and Gruenheid, Anja and Koutris, Paraschos and Naughton, Jeffrey and Viglas, Stratis},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {3},
        pages = {418--430},
        doi = {10.14778/3430915.3430931},
        url = {https://doi.org/10.14778/3430915.3430931},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

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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.

Rank Cited Paper Year Venue Pagerank
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
491 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00017413042
1,242 Compressing SQL Workloads 2002 SIGMOD 0.00011373611
2,915 F1 Query: Declarative Querying at Scale 2018 VLDB 7.8616593e-05
3,465 DIAMetrics: Benchmarking Query Engines at Scale 2020 VLDB 7.2808932e-05
4,252 Primitives for Workload Summarization and Implications for SQL 2003 VLDB 6.7015609e-05
5,021 Adaptive Sampling for Rapidly Matching Histograms 2018 VLDB 6.3106761e-05
6,027 Answering Top-k Representative Queries on Graph Databases 2014 SIGMOD 5.9112117e-05
8,638 Query Log Compression for Workload Analytics 2019 VLDB 5.2978746e-05
8,639 Efficient Summarization Framework for Multi-Attribute Uncertain Data 2014 SIGMOD 5.2978746e-05
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