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SpongeFiles: Mitigating Data Skew in MapReduce Using Distributed Memory

Summary: Introduces SpongeFiles, a distributed-memory abstraction for MapReduce that stores spilled data as a logical byte array across memory and disk, reducing data skew. Nearest-capacity routing lets idle nodes tap neighbor memory/disk, yielding up to 55% overall speedup (85% under contention) on Hadoop/Pig. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4913
Venue
SIGMOD
Year
2014
Pagerank
5.3162511e-05
Overall Rank
9,137 | 37.32%
DOI
10.1145/2588555.2595634

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{elmeleegy_sigmod14,
        title = {{SpongeFiles: Mitigating Data Skew in MapReduce Using Distributed Memory}},
        author = {Elmeleegy, Khaled and Olston, Christopher and Reed, Benjamin},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2595634},
        url = {https://dl.acm.org/doi/10.1145/2588555.2595634},
        year = {2014}
}

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6,734 Liquid: Unifying Nearline and Offline Big Data Integration 2015 CIDR 5.7879923e-05
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