Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation
Summary: Seagull is a production Azure infrastructure that turns per-server telemetry into validated, continuously monitored 24-hour load forecasts with model fallback and alerting. It uses predictions to schedule PostgreSQL/MySQL backups during low-load periods, reducing customer interference across regions. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Olga Poppe (Microsoft)
- 2. Tayo Amuneke (Microsoft)
- 3. Dalitso Banda (Microsoft)
- 4. Aritra De (Microsoft)
- 5. Ari Green (Microsoft)
- 6. Manon Knoertzer (Microsoft)
- 7. Ehi Nosakhare (Microsoft)
- 8. Karthik Rajendran (Microsoft)
- 9. Deepak Shankargouda (Microsoft)
- 10. Meina Wang (Microsoft)
- 11. Alan Au (Microsoft)
- 12. Carlo Curino (Microsoft)
- 13. Qun Guo (Microsoft)
- 14. Alekh Jindal (Microsoft)
- 15. Ajay Kalhan (Microsoft)
- 16. Morgan Oslake (Microsoft)
- 17. Sonia Parchani (Microsoft)
- 18. Vijay Ramani (Microsoft)
- 19. Raj Sellappan (Microsoft)
- 20. Saikat Sen (Microsoft)
- 21. Sheetal Shrotri (Microsoft)
- 22. Soundararajan Srinivasan (Microsoft)
- 23. Ping Xia (Microsoft)
- 24. Shize Xu (Microsoft)
- 25. Alicia Yang (Microsoft)
- 26. Yiwen Zhu (Microsoft)
BibTeX Citation
@article{poppe_vldb21,
title = {{Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation}},
author = {Poppe, Olga and Amuneke, Tayo and Banda, Dalitso and De, Aritra and Green, Ari and Knoertzer, Manon and Nosakhare, Ehi and Rajendran, Karthik and Shankargouda, Deepak and Wang, Meina and Au, Alan and Curino, Carlo and Guo, Qun and Jindal, Alekh and Kalhan, Ajay and Oslake, Morgan and Parchani, Sonia and Ramani, Vijay and Sellappan, Raj and Sen, Saikat and Shrotri, Sheetal and Srinivasan, Soundararajan and Xia, Ping and Xu, Shize and Yang, Alicia and Zhu, Yiwen},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {2},
pages = {154--162},
doi = {10.14778/3425879.3425886},
url = {https://doi.org/10.14778/3425879.3425886},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 14 of 14 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 584 | Workload-Aware Database Monitoring and Consolidation | 2011 | SIGMOD | 0.00016139925 |
| 1,092 | Automated Demand-driven Resource Scaling in Relational Database-as-a-Service | 2016 | SIGMOD | 0.00012221946 |
| 1,218 | P-Store: An Elastic Database System with Predictive Provisioning | 2018 | SIGMOD | 0.00011621066 |
| 1,224 | Dhalion: Self-Regulating Stream Processing in Heron | 2017 | VLDB | 0.00011596911 |
| 4,214 | The Missing Piece in Complex Analytics: Low Latency, Scalable Model Management and Serving with Velox | 2015 | CIDR | 6.8276099e-05 |
| 5,681 | Survivability of Cloud Databases - Factors and Prediction | 2018 | SIGMOD | 6.1237253e-05 |
| 10,098 | Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud | 2016 | VLDB | 5.1498503e-05 |
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