Survivability of Cloud Databases - Factors and Prediction
Summary: Large-scale survivability study of Azure SQL DB examines cloud-database lifespan before being dropped. Identifies predictive factors of lifespan and shows practical uses to boost efficiency and customer experience in cloud DB services. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jose Picado
- 2. Willis Lang
- 3. Edward C. Thayer
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,375 | Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless | 2022 | VLDB | 8.9452359e-05 |
| 5,566 | Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service | 2023 | VLDB | 5.4316888e-05 |
| 6,062 | Flexible Resource Allocation for Relational Database-as-a-Service | 2023 | VLDB | 5.2302798e-05 |
| 6,699 | Tenant Placement in Over-subscribed Database-as-a-Service Clusters | 2022 | VLDB | 4.9566258e-05 |
| 7,047 | Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation | 2021 | VLDB | 4.8521181e-05 |
| 8,491 | SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis | 2022 | VLDB | 4.4993073e-05 |
| 10,931 | Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless | 2024 | SIGMOD | 4.1945683e-05 |
| 11,487 | Toto - Benchmarking the Efficiency of a Cloud Service | 2021 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next