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MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs

Summary: MRTuner: MapReduce optimizer using a Producer-Transporter-Consumer (PTC) model to capture parallelism tradeoffs. Jointly tunes ~20 interdependent parameters with an efficient search, delivering optimized plans and faster results on HiBench workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10980
Venue
VLDB
Year
2014
Pagerank
5.6024593e-05
Overall Rank
7,546 | 48.23%
DOI
10.14778/2733004.2733005

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{shi_vldb14,
        title = {{MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs}},
        author = {Shi, Juwei and Zou, Jia and Lu, Jiaheng and Cao, Zhao and Li, Shiqiang and Wang, Chen},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1319--1330},
        doi = {10.14778/2733004.2733005},
        url = {https://doi.org/10.14778/2733004.2733005},
        year = {2014}
}

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