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SkewTune in Action: Mitigating Skew in MapReduce Applications

Summary: SkewTune automatically mitigates data skew in MapReduce jobs, as a drop-in Hadoop replacement. Demonstration shows runtime skew mitigation on real cloud workloads and an interactive GUI detailing skew handling across real and synthetic skew. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10627
Venue
VLDB
Year
2012
Pagerank
5.093636e-05
Overall Rank
12,336 | 15.37%
DOI
10.14778/2367502.2367541

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{kwon_vldb12,
        title = {{SkewTune in Action: Mitigating Skew in MapReduce Applications}},
        author = {Kwon, YongChul and Balazinska, Magdalena and Howe, Bill and Rolia, Jerome},
        journal = {PVLDB},
        series = {{VLDB} '12},
        volume = {5},
        number = {12},
        pages = {1934--1937},
        doi = {10.14778/2367502.2367541},
        url = {https://doi.org/10.14778/2367502.2367541},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
1,319 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.00011175005
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
372 HaLoop: Efficient Iterative Data Processing on Large Clusters 2010 VLDB 0.0001981521
1,319 SkewTune: Mitigating Skew in MapReduce Applications 2012 SIGMOD 0.00011175005
2,921 Clustera: An Integrated Computation And Data Management System 2008 VLDB 7.9626308e-05
Previous Page 1 / 1 Next

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