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TcpRT: Instrument and Diagnostic Analysis System for Service Quality of Cloud Databases at Massive Scale in Real-time

Summary: Kernel-level TcpRT traces per-query performance with minimal overhead via TCP congestion-control callbacks, transparent to DB processes. Aggregated traces power a distributed stream engine with a self-adjusting Cauchy model for automatic anomaly detection and network fault localization; deployed at Alibaba Cloud. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5554
Venue
SIGMOD
Year
2018
Pagerank
6.1817228e-05
Overall Rank
5,539 | 62.00%
DOI
10.1145/3183713.3190659

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{cao_sigmod18,
        title = {{TcpRT: Instrument and Diagnostic Analysis System for Service Quality of Cloud Databases at Massive Scale in Real-time}},
        author = {Cao, Wei and Gao, Yusong and Lin, Bingchen and Feng, Xiaojie and Xie, Yu and Lou, Xiao and Wang, Peng},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3190659},
        url = {https://dl.acm.org/doi/10.1145/3183713.3190659},
        year = {2018}
}

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