Optimizing the cloud? Don't train models. Build oracles!

Summary: Introduce cloud oracles: a non-ML approach for online cloud configuration that leverages parametric convex optimization to deliver guaranteed accuracy and explainable decisions. Validate empirically and outline research directions to extend the oracle approach beyond convex settings. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 517
Venue: CIDR
Year: 2024
Pagerank: 4.4349047e-05
Overall Rank: 8,854 | 38.41%
DOI: -

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,601	SkyPIE: A Fast & Accurate Oracle for Object Placement	2024	SIGMOD	4.3177432e-05
9,760	Adaptive data transformations for QaaS	2025	CIDR	4.2856106e-05
9,848	Saving Money for Analytical Workloads in the Cloud	2024	VLDB	4.2721228e-05

Outgoing Citations (Sorted by Pagerank)

Showing 20 of 20 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
608	DeepDB: Learn from Data, not from Queries!	2020	VLDB	0.00019235898
640	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00018759152
801	SageDB: A Learned Database System	2019	CIDR	0.00016505496
1,284	Amazon Redshift Re-invented	2022	SIGMOD	0.00012837822
1,501	P-Store: An Elastic Database System with Predictive Provisioning	2018	SIGMOD	0.00011664869
1,703	Are We Ready For Learned Cardinality Estimation?	2021	VLDB	0.00010836769
1,922	Selecting Subexpressions to Materialize at Datacenter Scale	2018	VLDB	0.00010082599
2,659	Multi-Objective Parametric Query Optimization	2015	VLDB	8.3604734e-05
3,284	Configuration-Parametric Query Optimization for Physical Design Tuning	2008	SIGMOD	7.2790444e-05
3,499	Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation	2021	VLDB	7.0376445e-05
3,828	Zero-Shot Cost Models for Out-of-the-box Learned Cost Prediction	2022	VLDB	6.7208524e-05
3,875	Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML	2020	CIDR	6.675257e-05
4,842	Towards Dynamic and Safe Configuration Tuning for Cloud Databases	2022	SIGMOD	5.8826802e-05
5,423	Kepler: Robust Learning for Faster Parametric Query Optimization	2023	SIGMOD	5.5130233e-05
6,261	The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward	2021	VLDB	5.1350714e-05
6,667	Leveraging Query Logs and Machine Learning for Parametric Query Optimization	2022	VLDB	4.9688874e-05
6,757	KEA: Tuning an Exabyte-Scale Data Infrastructure	2021	SIGMOD	4.9372134e-05
8,150	Parallelism-Optimizing Data Placement for Faster Data-Parallel Computations	2023	VLDB	4.5746638e-05
8,416	Towards Building Autonomous Data Services on Azure	2023	SIGMOD	4.5196199e-05
9,194	Phoebe: A Learning-based Checkpoint Optimizer	2021	VLDB	4.3761777e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
12,164	Cloud Resource Orchestration: A Data-Centric Approach	2011	CIDR	4.1945683e-05
11,085	OptScaler: A Collaborative Framework for Robust Autoscaling in the Cloud	2024	VLDB	4.1945683e-05
7,889	Cost-Intelligent Data Analytics in the Cloud	2024	CIDR	4.6253386e-05
4,700	Schedule Optimization for Data Processing Flows on the Cloud	2011	SIGMOD	5.9882572e-05
4,842	Towards Dynamic and Safe Configuration Tuning for Cloud Databases	2022	SIGMOD	5.8826802e-05
3,076	Learning a Partitioning Advisor for Cloud Databases	2020	SIGMOD	7.6107677e-05
2,568	Towards Cost-Optimal Query Processing in the Cloud	2021	VLDB	8.5239227e-05
9,601	SkyPIE: A Fast & Accurate Oracle for Object Placement	2024	SIGMOD	4.3177432e-05
13,228	White-Box OLAP Performance Modeling for the Cloud	2021	CIDR	-
4,961	Releasing Cloud Databases from the Chains of Performance Prediction Models	2017	CIDR	5.7984657e-05