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 (Chinese Academy of Sciences)
- 2. Tian Guo (Worcester Polytechnic Institute)
- 3. Wensheng Dou (Chinese Academy of Sciences; University of Chinese Academy of Sciences)
- 4. Wei Wang (Chinese Academy of Sciences; University of Chinese Academy of Sciences)
- 5. Jun Wei (Chinese Academy of Sciences; University of Chinese Academy of Sciences)
BibTeX Citation
@article{xu_vldb19,
title = {{An Experimental Evaluation of Garbage Collectors on Big Data Applications}},
author = {Xu, Lijie and Guo, Tian and Dou, Wensheng and Wang, Wei and Wei, Jun},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {5},
pages = {570--583},
doi = {10.14778/3303753.3303762},
url = {https://doi.org/10.14778/3303753.3303762},
year = {2019}
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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 |
|---|---|---|---|---|
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 44 | A Comparison of Approaches to Large-Scale Data Analysis | 2009 | SIGMOD | 0.00046055057 |
| 735 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00014522606 |
| 1,319 | SkewTune: Mitigating Skew in MapReduce Applications | 2012 | SIGMOD | 0.00011175005 |
| 1,436 | The Performance of MapReduce: An In-depth Study | 2010 | VLDB | 0.00010797443 |
| 3,411 | Scaling Spark in the Real World: Performance and Usability | 2015 | VLDB | 7.436229e-05 |
| 4,208 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.8319812e-05 |
| 5,476 | Lifetime-Based Memory Management for Distributed Data Processing Systems | 2016 | VLDB | 6.2052672e-05 |
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