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MIFO: A Query-Semantic Aware Resource Allocation Policy

Summary: Introduces MIFO, a dataflow-aware scheduler that reduces queue/resource contention by prioritizing near-complete queries. Uses query semantics to trigger proactive allocations; Spark/TPCDS shows 1.2–2.7x speedups and lower makespan vs FAIR, with small fairness tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5776
Venue
SIGMOD
Year
2019
Pagerank
5.8932222e-05
Overall Rank
6,375 | 56.27%
DOI
10.1145/3299869.3319902

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kalmegh_sigmod19,
        title = {{MIFO: A Query-Semantic Aware Resource Allocation Policy}},
        author = {Kalmegh, Prajakta and Babu, Shivnath},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319902},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319902},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
1,863 ByteGNN: Efficient Graph Neural Network Training at Large Scale 2022 VLDB 9.5950349e-05
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