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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
5193
Venue
SIGMOD
Year
2016
Pagerank
0.00012605455
Overall Rank
1,321 | 90.83%
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
371 Self-Driving Database Management Systems 2017 CIDR 0.00025382677
704 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017785557
1,721 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010741822
2,376 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 8.9367999e-05
3,466 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.0645718e-05
3,692 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 6.8328808e-05
4,151 openGauss: An Autonomous Database System 2021 VLDB 6.4020605e-05
4,216 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3448176e-05
4,659 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 6.0076537e-05
5,020 Adaptive HTAP through Elastic Resource Scheduling 2020 SIGMOD 5.7482116e-05
5,729 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 5.3499416e-05
5,787 Machine Learning for Databases 2021 VLDB 5.3256401e-05
7,044 Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation 2021 VLDB 4.8475963e-05
7,231 MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems 2019 VLDB 4.7895465e-05
7,291 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 4.7677422e-05
8,346 A system design for elastically scaling transaction processing engines in virtualized servers 2020 VLDB 4.5359349e-05
8,378 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 4.5275731e-05
8,735 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 4.4520434e-05
9,417 Kora: A Cloud-Native Event Streaming Platform For Kafka 2023 VLDB 4.3399748e-05
9,469 Database Gyms 2023 CIDR 4.3304872e-05
10,421 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.1905499e-05
10,934 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.1905499e-05
10,969 Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) 2024 SIGMOD 4.1905499e-05
11,088 OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud 2024 VLDB 4.1905499e-05
11,491 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.1905499e-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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