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IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems

Summary: IcedTea: reverse time-travel debugging for distributed dataflow systems — periodically capture global operator states and allow rollback to any past interaction with stepwise replay. Formalizes the model and applies runtime/space optimizations to support responsive debugging of stateful, ML-heavy dataflows with low overhead. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
14434
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
11,106 | 23.81%
DOI
10.14778/3712221.3712251

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Authors

BibTeX Citation

@article{ni_vldb25,
        title = {{IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems}},
        author = {Ni, Shengquan and Huang, Yicong and Wang, Zuozhi and Li, Chen},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {3},
        pages = {902--914},
        doi = {10.14778/3712221.3712251},
        url = {https://doi.org/10.14778/3712221.3712251},
        year = {2025}
}

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Rank Citing Paper Year Venue Pagerank
11,066 ML-Asset Management: Curation, Discovery, and Utilization 2025 VLDB 5.093636e-05
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