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PerfXplain: Debugging MapReduce Job Performance
Summary: PerfXplain queries MapReduce runtimes from a log of past jobs and explains performance differences. It defines explanations by relevance, precision, and generality, using a decision-tree method to generate insights; evaluated on EC2 against baselines.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 10505
- Venue
- VLDB
- Year
- 2012
- Pagerank
- 0.00011462982
- Overall Rank
- 1,533 | 89.35%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
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Year |
Venue |
Pagerank |
| 213 |
Scorpion: Explaining Away Outliers in Aggregate Queries |
2013 |
VLDB |
0.0003371037 |
| 943 |
A Formal Approach to Finding Explanations for Database Queries |
2014 |
SIGMOD |
0.00015140995 |
| 1,024 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
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0.00014601525 |
| 1,845 |
dbTouch: Analytics at your Fingertips |
2013 |
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0.00010339281 |
| 2,140 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
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9.4565836e-05 |
| 2,158 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4117885e-05 |
| 2,400 |
Causality and Explanations in Databases |
2014 |
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8.884178e-05 |
| 2,655 |
Explaining Query Answers with Explanation-Ready Databases |
2016 |
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8.3638668e-05 |
| 2,714 |
Minimal MapReduce Algorithms |
2013 |
SIGMOD |
8.2426646e-05 |
| 3,107 |
Data X-Ray: A Diagnostic Tool for Data Errors |
2015 |
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7.5549177e-05 |
| 4,358 |
The Complexity of Resilience and Responsibility for Self-Join-Free Conjunctive Queries |
2016 |
VLDB |
6.2499e-05 |
| 4,807 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
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5.9045148e-05 |
| 5,192 |
Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances |
2019 |
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5.6324589e-05 |
| 5,454 |
QFix: Diagnosing Errors through Query Histories |
2017 |
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5.4967096e-05 |
| 6,125 |
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5.1949154e-05 |
| 6,169 |
A Demonstration of Interactive Analysis of Performance Measurements with Viska |
2017 |
SIGMOD |
5.1708657e-05 |
| 6,468 |
Explain3D: Explaining Disagreements in Disjoint Datasets |
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5.0448709e-05 |
| 6,779 |
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2021 |
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4.9232829e-05 |
| 6,817 |
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2013 |
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4.9110239e-05 |
| 7,291 |
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4.7677422e-05 |
| 9,778 |
iQCAR: A Demonstration of an Inter-Query Contention Analyzer for Cluster Computing Frameworks |
2018 |
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4.2815042e-05 |
| 11,957 |
Big Data Research: Will Industry Solve all the Problems? |
2015 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Cited Paper |
Year |
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Pagerank |
| 3 |
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2008 |
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| 22 |
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets |
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0.00084679526 |
| 160 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
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0.00040053897 |
| 237 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
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0.00031727601 |
| 423 |
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0.00023628474 |
| 495 |
Automatic SQL Tuning in Oracle 10g |
2004 |
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0.00021712703 |
| 517 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
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0.00021193179 |
| 662 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018478597 |
| 789 |
Hadoop++: Making a Yellow Elephant Run Like a Cheetah (Without It Even Noticing) |
2010 |
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0.00016602215 |
| 950 |
Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance |
2010 |
VLDB |
0.00015100872 |
| 1,048 |
Starfish: A Self-tuning System for Big Data Analytics |
2011 |
CIDR |
0.00014442178 |
| 1,281 |
Automatic Optimization for MapReduce Programs |
2011 |
VLDB |
0.00012837411 |
| 1,615 |
The Performance of MapReduce: An In-depth Study |
2010 |
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0.00011137225 |
| 1,768 |
ParaTimer: A Progress Indicator for MapReduce DAGs |
2010 |
SIGMOD |
0.00010608933 |
| 3,661 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
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6.8680306e-05 |
| 4,434 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
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6.1851729e-05 |
| 4,938 |
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2009 |
CIDR |
5.8140945e-05 |
| 5,008 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
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SIGMOD |
5.7577872e-05 |
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