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)

Paper ID: 5546
Venue: SIGMOD
Year: 2018
Pagerank: 6.1237253e-05
Overall Rank: 5,681 | 61.03%
DOI: 10.1145/3183713.3190651

Incoming Non-self Citations Over Time

Authors

1. Jose Picado (Oregon State University)
2. Willis Lang (Microsoft)
3. Edward C. Thayer (Microsoft)

BibTeX Citation

@inproceedings{picado_sigmod18,
        title = {{Survivability of Cloud Databases - Factors and Prediction}},
        author = {Picado, Jose and Lang, Willis and Thayer, Edward C.},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3190651},
        url = {https://dl.acm.org/doi/10.1145/3183713.3190651},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 8 of 8 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,226	Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless	2022	VLDB	8.9174082e-05
5,355	Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service	2023	VLDB	6.2500992e-05
5,591	Flexible Resource Allocation for Relational Database-as-a-Service	2023	VLDB	6.1556906e-05
6,518	Tenant Placement in Over-subscribed Database-as-a-Service Clusters	2022	VLDB	5.8538324e-05
6,781	Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation	2021	VLDB	5.7764885e-05
8,360	SA-LSM: Optimize Data Layout for LSM-tree Based Storage using Survival Analysis	2022	VLDB	5.4444442e-05
11,150	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD	5.093636e-05
11,685	Toto - Benchmarking the Efficiency of a Cloud Service	2021	SIGMOD	5.093636e-05

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.

Rank	Cited Paper	Year	Venue	Pagerank
148	Gorilla: A Fast, Scalable, In-Memory Time Series Database	2015	VLDB	0.00029250767
624	Performance Prediction for Concurrent Database Workloads	2011	SIGMOD	0.00015683402
1,092	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.00012221946
1,147	Data Management Challenges in Production Machine Learning	2017	SIGMOD	0.00011974846
1,335	SQLVM: Performance Isolation in Multi-Tenant Relational Database-as-a-Service	2013	CIDR	0.00011122853
1,931	Performance and Resource Modeling in Highly-Concurrent OLTP Workloads	2013	SIGMOD	9.4664741e-05
1,995	Database Learning: Toward a Database that Becomes Smarter Every Time	2017	SIGMOD	9.3403665e-05
2,381	CPU Sharing Techniques for Performance Isolation in Multi-tenant Relational Database-as-a-Service	2014	VLDB	8.6607625e-05
2,958	WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases	2016	VLDB	7.9197796e-05
3,236	Sharing Buffer Pool Memory in Multi-Tenant Relational Database-as-a-Service	2015	VLDB	7.6108467e-05
3,259	Characterizing Tenant Behavior for Placement and Crisis Mitigation in Multitenant DBMSs	2013	SIGMOD	7.5892257e-05
5,182	Probabilistic Demand Forecasting at Scale	2017	VLDB	6.3287692e-05
6,822	JetScope: Reliable and Interactive Analytics at Cloud Scale	2015	VLDB	5.7627651e-05
10,098	Not for the Timid: On the Impact of Aggressive Over-booking in the Cloud	2016	VLDB	5.1498503e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	4,987	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR
2	1,092	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD
3	7,901	Cloud Databases: New Techniques, Challenges, and Opportunities	2022	VLDB
4	6,518	Tenant Placement in Over-subscribed Database-as-a-Service Clusters	2022	VLDB
5	2,226	Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless	2022	VLDB
6	641	Relational Cloud: A Database-as-a-Service for the Cloud	2011	CIDR
7	11,150	Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless	2024	SIGMOD
8	2,924	Constant Time Recovery in Azure SQL Database	2019	VLDB
9	1,023	Extreme Scale with Full SQL Language Support in Microsoft SQL Azure	2010	SIGMOD
10	5,591	Flexible Resource Allocation for Relational Database-as-a-Service	2023	VLDB