iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks
Summary: iQCAR attributes query slowdowns to concurrent queries in analytics frameworks. It builds a multi-level DAG of resource conflicts for online time-window analysis, pinpointing the most contentious queries, resources, and hosts with higher accuracy than overlap-based baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Prajakta Kalmegh (Duke University)
- 2. Shivnath Babu (Unravel Data Systems)
- 3. Sudeepa Roy (Duke University)
BibTeX Citation
@inproceedings{kalmegh_sigmod19,
title = {{iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks}},
author = {Kalmegh, Prajakta and Babu, Shivnath and Roy, Sudeepa},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3319904},
url = {https://dl.acm.org/doi/10.1145/3299869.3319904},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,920 | D-Bot: Database Diagnosis System using Large Language Models | 2024 | VLDB | 9.4846185e-05 |
| 3,662 | openGauss: An Autonomous Database System | 2021 | VLDB | 7.2166682e-05 |
| 5,023 | DBPA: A Benchmark for Transactional Database Performance Anomalies | 2023 | SIGMOD | 6.3979497e-05 |
| 6,576 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.8364729e-05 |
| 10,532 | DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 86 | Automatic Database Management System Tuning Through Large-scale Machine Learning | 2017 | SIGMOD | 0.00035316107 |
| 625 | Automatic Performance Diagnosis and Tuning in Oracle | 2005 | CIDR | 0.0001566968 |
| 798 | DBSherlock: A Performance Diagnostic Tool for Transactional Databases | 2016 | SIGMOD | 0.00013919795 |
| 923 | Starfish: A Self-tuning System for Big Data Analytics | 2011 | CIDR | 0.00013189886 |
| 1,694 | PerfXplain: Debugging MapReduce Job Performance | 2012 | VLDB | 9.9953156e-05 |
| 4,958 | Why Did My Query Slow Down? | 2009 | CIDR | 6.428827e-05 |
| 9,932 | iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks | 2018 | SIGMOD | 5.1955087e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,590 | Aquila: A High-Concurrency System for Incremental Graph Query | 2026 | VLDB |
| 2 | 3,482 | Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads | 2013 | VLDB |
| 3 | 7,825 | RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems | 2025 | VLDB |
| 4 | 11,625 | Accelerating Complex Analytics using Speculation | 2021 | CIDR |
| 5 | 586 | ConQuer: Efficient Management of Inconsistent Databases | 2005 | SIGMOD |
| 6 | 2,812 | Query Performance Prediction for Concurrent Queries using Graph Embedding | 2020 | VLDB |
| 7 | 1,949 | Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases | 2020 | VLDB |
| 8 | 10,969 | Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries | 2025 | VLDB |
| 9 | 624 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD |
| 10 | 9,932 | iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks | 2018 | SIGMOD |