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Optimistic Recovery for Iterative Dataflows in Action

Summary: Optimistic recovery for iterative dataflows eliminates intermediate state checkpoints via compensation functions to reach a consistent state after failure. Demonstrated on Apache Flink with graph algorithms, it provides fault tolerance without checkpoint overhead and near-optimal failure-free performance. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5049
Venue
SIGMOD
Year
2015
Pagerank
5.2389261e-05
Overall Rank
9,670 | 33.66%
DOI
10.1145/2723372.2735372

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dudoladov_sigmod15,
        title = {{Optimistic Recovery for Iterative Dataflows in Action}},
        author = {Dudoladov, Sergey and Xu, Chen and Schelter, Sebastian and Katsifodimos, Asterios and Ewen, Stephan and Tzoumas, Kostas and Markl, Volker},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2735372},
        url = {https://dl.acm.org/doi/10.1145/2723372.2735372},
        year = {2015}
}

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