DBScholar

Back to papers

Performance Prediction for Concurrent Database Workloads

Summary: Models concurrency impact on analytic workloads via profiling, pairwise interference, and sampling to predict contention. Introduces a scalar disk+memory contention metric and timelines of interactions; evaluated on PostgreSQL/TPC-H with ~20% latency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4314ec07a73a4e21
Venue
SIGMOD
Year
2011
Pagerank
0.00015429949
Overall Rank
629 | 95.78%
DOI
10.1145/1989323.1989359

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{duggan_sigmod11,
        title = {{Performance Prediction for Concurrent Database Workloads}},
        author = {Duggan, Jennie and Cetintemel, Ugur and Papaemmanouil, Olga and Upfal, Eli},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989359},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989359},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 35 of 35 citing papers.

Rank Citing Paper Year Venue Pagerank
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016403151
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.0001481781
1,067 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.0001219157
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011226878
1,603 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 0.00010097649
1,800 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.6093317e-05
1,939 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.3331247e-05
2,842 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 7.949193e-05
2,981 WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases 2016 VLDB 7.7851845e-05
2,999 Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service 2015 VLDB 7.7676694e-05
3,237 Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs 2013 SIGMOD 7.5017163e-05
3,391 RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters 2013 SIGMOD 7.3496891e-05
3,519 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB 7.2389387e-05
3,682 openGauss: An Autonomous Database System 2021 VLDB 7.1013922e-05
3,965 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.8918628e-05
4,077 DBSeer: Resource and Performance Prediction for Building a Next Generation Database Cloud 2013 CIDR 6.8186603e-05
4,146 Parallel Analytics as a Service 2013 SIGMOD 6.7806268e-05
5,087 Releasing Cloud Databases from the Chains of Performance Prediction Models 2017 CIDR 6.2809904e-05
5,386 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.1522468e-05
5,656 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.0488629e-05
5,683 How Good are Learned Cost Models, Really? Insights from Query Optimization Tasks 2025 SIGMOD 6.0392183e-05
5,766 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 6.0025753e-05
6,241 Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics 2016 SIGMOD 5.8381762e-05
6,456 A Statistical Approach Towards Robust Progress Estimation 2012 VLDB 5.7782179e-05
6,512 PLANET: Making Progress with Commit Processing in Unpredictable Environments 2014 SIGMOD 5.7597381e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
6,872 Distribution-Based Query Scheduling 2013 VLDB 5.6592113e-05
7,967 Resource Bricolage for Parallel Database Systems 2015 VLDB 5.415894e-05
8,332 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.3528188e-05
9,926 Workload-Aware CPU Performance Scaling for Transactional Database Systems 2018 SIGMOD 5.1103839e-05
10,148 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.0715586e-05
10,319 Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud 2016 VLDB 5.0351368e-05
11,238 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.9793485e-05
12,548 Workload Management for Big Data Analytics 2013 SIGMOD 4.9793485e-05
13,881 XCloud: Extensible Performance Management for Cloud Data Services 2015 CIDR -
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,159 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011771949
1,587 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.0001014156
1,688 ParaTimer: A Progress Indicator for MapReduce DAGs 2010 SIGMOD 9.8645784e-05
2,318 When Can We Trust Progress Estimators for SQL Queries? 2005 SIGMOD 8.6464837e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

# Overall Rank Paper Year Venue
1 797 Low Overhead Concurrency Control for Partitioned Main Memory Databases 2010 SIGMOD
2 446 Query Optimization for Parallel Execution 1992 SIGMOD
3 4,392 Sharing Data and Work Across Concurrent Analytical Queries 2013 VLDB
4 1,034 A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses 2009 VLDB
5 13,477 An Analytical Method for Estimating and Interpreting Query Time 1987 VLDB
6 268 Models for Studying Concurrency Control Performance: Alternatives and Implications 1985 SIGMOD
7 1,939 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD
8 10,148 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB
9 2,842 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB
10 3,519 Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads 2013 VLDB