An Experimental Evaluation of Garbage Collectors on Big Data Applications
Summary: First comprehensive evaluation of Parallel, CMS, and G1 GC on big-data Spark workloads. Links memory-usage patterns to GC behavior, revealing inefficiencies, and offers empirical guidelines plus optimization strategies for big-data–friendly collectors. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Lijie Xu
- 2. Tian Guo
- 3. Wensheng Dou
- 4. Wei Wang
- 5. Jun Wei
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 42 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00073498298 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 868 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00015789681 |
| 1,334 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.0001250413 |
| 1,615 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00011132319 |
| 3,535 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB | 6.9992495e-05 |
| 4,437 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.1907793e-05 |
| 5,793 | Lifetime-Based Memory Management for Distributed Data Processing Systems | 2016 | VLDB | 5.3258796e-05 |
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