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Piranha: Optimizing Short Jobs in Hadoop

Summary: Piranha targets Hadoop’s overlooked short, latency-sensitive warehouse queries amid batch workloads. Deployable without modifying Hadoop, it exploits production-derived short-job characteristics to cut response times by up to 71% without affecting large jobs. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10947
Venue
VLDB
Year
2013
Pagerank
5.4226e-05
Overall Rank
8,455 | 42.00%
DOI
10.14778/2536222.2536227

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BibTeX Citation

@article{elmeleegy_vldb13,
        title = {{Piranha: Optimizing Short Jobs in Hadoop}},
        author = {Elmeleegy, Khaled},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {11},
        pages = {985--996},
        doi = {10.14778/2536222.2536227},
        url = {https://doi.org/10.14778/2536222.2536227},
        year = {2013}
}

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