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Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGs

Summary: Introduces Pasta, a cost-based optimizer for scheduling pipelined execution of dataflow DAGs. General across cost models, it exploits cost-function structure to reduce materialization and improve plan quality on real-world workflows. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7063
Venue
SIGMOD
Year
2024
Pagerank
5.093636e-05
Overall Rank
11,207 | 23.11%
DOI
10.1145/3698832

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BibTeX Citation

@inproceedings{liu_sigmod24,
        title = {{Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGs}},
        author = {Liu, Xiaozhen and Huang, Yicong and Lin, Xinyuan and Kumar, Avinash and Alsudais, Sadeem and Li, Chen},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3698832},
        url = {https://dl.acm.org/doi/10.1145/3698832},
        year = {2024}
}

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