PBS at Work: Advancing Data Management with Consistency Metrics
Summary: PBS-based consistency metrics quantify data freshness and enable real-time tuning in distributed stores (Cassandra). Demonstrates three scenarios for monitoring, SLA-driven administration, and a PBS-Cassandra demo platform for live consistency insights. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Peter Bailis (University of California Berkeley)
- 2. Shivaram Venkataraman (University of California Berkeley)
- 3. Michael J. Franklin (University of California Berkeley)
- 4. Joseph M. Hellerstein (University of California Berkeley)
- 5. Ion Stoica (University of California Berkeley)
BibTeX Citation
@inproceedings{bailis_sigmod13,
title = {{PBS at Work: Advancing Data Management with Consistency Metrics}},
author = {Bailis, Peter and Venkataraman, Shivaram and Franklin, Michael J. and Hellerstein, Joseph M. and Stoica, Ion},
series = {{SIGMOD} '13},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2463676.2465260},
url = {https://dl.acm.org/doi/10.1145/2463676.2465260},
year = {2013}
}
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| 2,665 | Probabilistically Bounded Staleness for Practical Partial Quorums | 2012 | VLDB | 8.280143e-05 |
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