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Automated Demand-driven Resource Scaling in Relational Database-as-a-Service

Summary: Automates demand-driven auto-scaling of relational DaaS resources via robust signals from database engine telemetry to predict workload needs. Azure SQL Database prototype yields 1.5–3× cost savings with latency on par with utilization-only methods, letting tenants budget by latency rather than fixed resources. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5192
Venue
SIGMOD
Year
2016
Pagerank
0.00012610912
Overall Rank
1,322 | 90.81%
DOI
10.1145/2882903.2903733

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 25 of 25 citing papers.

Rank Citing Paper Year Venue Pagerank
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
716 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017723171
1,729 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.0001073728
2,375 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9452359e-05
3,269 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.2998062e-05
3,473 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.062864e-05
4,152 openGauss: An Autonomous Database System 2021 VLDB 6.4060406e-05
4,240 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3318228e-05
4,662 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 6.013415e-05
5,005 Adaptive HTAP through Elastic Resource Scheduling 2020 SIGMOD 5.7641797e-05
5,719 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 5.3550742e-05
5,861 Machine Learning for Databases 2021 VLDB 5.298883e-05
7,047 Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation 2021 VLDB 4.8521181e-05
7,234 MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems 2019 VLDB 4.7941449e-05
7,296 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7723197e-05
8,355 A system design for elastically scaling transaction processing engines in virtualized servers 2020 VLDB 4.5381474e-05
8,416 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 4.5196199e-05
8,739 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 4.456315e-05
9,411 Kora: A Cloud-Native Event Streaming Platform For Kafka 2023 VLDB 4.3441378e-05
9,467 Database Gyms 2023 CIDR 4.3346412e-05
10,410 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.1945683e-05
10,931 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.1945683e-05
10,966 Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) 2024 SIGMOD 4.1945683e-05
11,085 OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud 2024 VLDB 4.1945683e-05
11,487 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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