DBScholar

Back to papers

PerfEnforce Demonstration: Data Analytics with Performance Guarantees

Summary: PerfEnforce Demonstration presents a dynamic analytics-scaling engine minimizing cost while probabilistically meeting SLA runtimes. Three scaling families—feedback control, reinforcement learning, and online ML—enable tuning and workload-aware comparisons. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5236
Venue
SIGMOD
Year
2016
Pagerank
8.8846115e-05
Overall Rank
2,240 | 84.64%
DOI
10.1145/2882903.2899402

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ortiz_sigmod16,
        title = {{PerfEnforce Demonstration: Data Analytics with Performance Guarantees}},
        author = {Ortiz, Jennifer and Lee, Brendan and Balazinska, Magdalena},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2899402},
        url = {https://dl.acm.org/doi/10.1145/2882903.2899402},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 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