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Quality-Driven Continuous Query Execution over Out-of-Order Data Streams

Summary: Introduces AQ-K-slack, a buffer-based, quality-driven disorder-handling framework for sliding-window aggregates over out-of-order streams. By fusing sampling-based AQP with control-theory guidance, it dynamically tunes the input buffer to satisfy a user-defined relative error, delivering substantial latency reductions (e.g., ~80% at 1% error) versus naive disorder-handling approaches; demonstrated by a prototype on SAP ESP. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5048
Venue
SIGMOD
Year
2015
Pagerank
5.5800458e-05
Overall Rank
7,626 | 47.68%
DOI
10.1145/2723372.2723371

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ji_sigmod15,
        title = {{Quality-Driven Continuous Query Execution over Out-of-Order Data Streams}},
        author = {Ji, Yuanzhen and Zhou, Hongjin and Jerzak, Zbigniew and Nica, Anisoara and Hackenbroich, Gregor and Fetzer, Christof},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2723371},
        url = {https://dl.acm.org/doi/10.1145/2723372.2723371},
        year = {2015}
}

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