DBScholar

Back to papers

Sentinel: Understanding Data Systems

Summary: Sentinel builds online system-execution models by intercepting standard debug-log calls, with minimal overhead. These models are compared to reveal behavioral differences, yielding concise reports that help admins locate and resolve performance issues. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5926
Venue
SIGMOD
Year
2020
Pagerank
5.5181056e-05
Overall Rank
7,922 | 45.65%
DOI
10.1145/3318464.3384691

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{glasbergen_sigmod20,
        title = {{Sentinel: Understanding Data Systems}},
        author = {Glasbergen, Brad and Abebe, Michael and Daudjee, Khuzaima and Vogel, Daniel and Zhao, Jian},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3384691},
        url = {https://dl.acm.org/doi/10.1145/3318464.3384691},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
11,324 Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry 2024 VLDB 5.093636e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers