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Olga Poppe
- Author ID
- u1655
- ORCID
-
-
- Links
-
(found by gpt-5.6-luna on jul 24 2026)
- Most Frequent Institution
- Microsoft
- Pagerank
- 0.087124672
- Overall Rank
- 816 | 96.25%
- Paper Count
- 11
Affiliation Timeline
Incoming Non-self Citations Over Time
Total yearly non-self incoming citations across all papers by this author.
Publications by Paper Pagerank
Showing all 11 publications. Total citations include self and non-self citations.
| Rank |
Title |
Year |
Venue |
Total Citations |
Pagerank |
| 2,004 |
Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless |
2022 |
VLDB |
18 |
9.1854436e-05 |
| 2,219 |
Magpie: Python at Speed and Scale using Cloud Backends |
2021 |
CIDR |
18 |
8.8186113e-05 |
| 3,691 |
Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML |
2020 |
CIDR |
17 |
7.0771037e-05 |
| 5,250 |
To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams |
2021 |
SIGMOD |
7 |
6.197923e-05 |
| 6,320 |
GRETA: Graph-based Real-time Event Trend Aggregation |
2018 |
VLDB |
7 |
5.7964138e-05 |
| 6,346 |
Complete Event Trend Detection in High-Rate Event Streams |
2017 |
SIGMOD |
10 |
5.7896994e-05 |
| 6,904 |
Gloria: Graph-based Sharing Optimizer for Event Trend Aggregation |
2022 |
SIGMOD |
3 |
5.6361883e-05 |
| 6,921 |
Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation |
2021 |
VLDB |
14 |
5.63068e-05 |
| 8,372 |
Towards Building Autonomous Data Services on Azure |
2023 |
SIGMOD |
7 |
5.3287108e-05 |
| 8,512 |
Event Trend Aggregation Under Rich Event Matching Semantics |
2019 |
SIGMOD |
4 |
5.3115496e-05 |
| 11,556 |
Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless |
2024 |
SIGMOD |
0 |
4.9605343e-05 |
Frequent Co-authors
Co-authored at least 5 papers.