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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
hc0b2ae9e7b5ff9cc
Venue
SIGMOD
Year
2016
Pagerank
0.00012225863
Overall Rank
1,058 | 92.91%
DOI
10.1145/2882903.2903733

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{das_sigmod16,
        title = {{Automated Demand-driven Resource Scaling in Relational Database-as-a-Service}},
        author = {Das, Sudipto and Li, Feng and Narasayya, Vivek R. and König, Arnd Christian},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2903733},
        url = {https://dl.acm.org/doi/10.1145/2882903.2903733},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 28 of 28 citing papers.

Rank Citing Paper Year Venue Pagerank
224 Self-Driving Database Management Systems 2017 CIDR 0.00023973185
458 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017870238
1,509 Cloud-Native Database Systems at Alibaba: Opportunities and Challenges 2019 VLDB 0.00010415166
2,004 Moneyball: Proactive Auto-Scaling in Microsoft Azure SQL Database Serverless 2022 VLDB 9.1854436e-05
2,913 AI Meets Database: AI4DB and DB4AI 2021 SIGMOD 7.855786e-05
2,929 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.830745e-05
3,575 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1769215e-05
3,650 Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store 2021 SIGMOD 7.1170026e-05
3,687 openGauss: An Autonomous Database System 2021 VLDB 7.0797286e-05
4,339 Adaptive HTAP through Elastic Resource Scheduling 2020 SIGMOD 6.641183e-05
4,765 Machine Learning for Databases 2021 VLDB 6.4166895e-05
5,778 Survivability of Cloud Databases - Factors and Prediction 2018 SIGMOD 5.9804567e-05
6,768 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6693759e-05
6,921 Seagull: An Infrastructure for Load Prediction and Optimized Resource Allocation 2021 VLDB 5.63068e-05
7,203 MgCrab: Transaction Crabbing for Live Migration in Deterministic Database Systems 2019 VLDB 5.5721192e-05
8,370 A system design for elastically scaling transaction processing engines in virtualized servers 2020 VLDB 5.3287859e-05
8,372 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 5.3287108e-05
9,105 Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud 2024 SIGMOD 5.208561e-05
9,448 Modeling Concurrency Control as a Learnable Function 2026 SIGMOD 5.162056e-05
9,731 Database Gyms 2023 CIDR 5.120066e-05
9,774 Kora: A Cloud-Native Event Streaming Platform For Kafka 2023 VLDB 5.115551e-05
9,998 Lorentz: Learned SKU Recommendation Using Profile Data (DMDS) 2024 SIGMOD 5.0845476e-05
10,392 E-LQO: A Comprehensive Energy Evaluation Framework for Learned Query Optimization 2027 SIGMOD 4.9605343e-05
11,013 Lakebase: Serverless Postgres over Open Lake Storage 2026 VLDB 4.9605343e-05
11,197 Oceanus: Enable SLO-Aware Vertical Autoscaling for Cloud-Native Streaming Services in Tencent 2025 SIGMOD 4.9605343e-05
11,556 Proactive Resume and Pause of Resources for Microsoft Azure SQL Database Serverless 2024 SIGMOD 4.9605343e-05
11,666 OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud 2024 VLDB 4.9605343e-05
12,042 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.9605343e-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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