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Cost-Intelligent Data Analytics in the Cloud
Summary: Introduce 'cost intelligence'—treating monetary cost as a first-class optimization objective—and outline a cloud data-warehouse architecture to enable cost-aware analytics. Target two core challenges—automatic resource deployment and cost-oriented auto‑tuning—highlighting missing components and research opportunities.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 531
- Venue
- CIDR
- Year
- 2024
- Pagerank
- 4.6253386e-05
- Overall Rank
- 7,889 | 45.12%
- DOI
-
-
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039180521 |
| 310 |
The Vertica Analytic Database: C-Store 7 Years Later |
2012 |
VLDB |
0.00028132402 |
| 359 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.0002592783 |
| 418 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023729211 |
| 516 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021196031 |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 884 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015654004 |
| 1,284 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012837822 |
| 1,326 |
Starling: A Scalable Query Engine on Cloud Functions |
2020 |
SIGMOD |
0.00012576952 |
| 2,424 |
Lambada: Interactive Data Analytics on Cold Data Using Serverless Cloud Infrastructure |
2020 |
SIGMOD |
8.8380822e-05 |
| 2,528 |
Velox: Meta’s Unified Execution Engine |
2022 |
VLDB |
8.59454e-05 |
| 2,568 |
Towards Cost-Optimal Query Processing in the Cloud |
2021 |
VLDB |
8.5239227e-05 |
| 2,659 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3604734e-05 |
| 2,691 |
Greenplum: A Hybrid Database for Transactional and Analytical Workloads |
2021 |
SIGMOD |
8.2909126e-05 |
| 3,154 |
The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database |
2016 |
VLDB |
7.4686089e-05 |
| 3,625 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
6.9055212e-05 |
| 3,753 |
Choosing A Cloud DBMS: Architectures and Tradeoffs |
2019 |
VLDB |
6.7871241e-05 |
| 3,809 |
Changing the Face of Database Cloud Services with Personalized Service Level Agreements |
2015 |
CIDR |
6.7409982e-05 |
| 4,530 |
Big Metadata: When Metadata is Big Data |
2021 |
VLDB |
6.1075429e-05 |
| 4,590 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.0620053e-05 |
| 4,700 |
Schedule Optimization for Data Processing Flows on the Cloud |
2011 |
SIGMOD |
5.9882572e-05 |
| 4,874 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
5.8594632e-05 |
| 5,368 |
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing |
2022 |
VLDB |
5.5457532e-05 |
| 7,387 |
Bubble Execution: Resource-aware Reliable Analytics at Cloud Scale |
2018 |
VLDB |
4.7438193e-05 |
| 9,662 |
Efficient Query Re-optimization with Judicious Subquery Selections |
2023 |
SIGMOD |
4.3097631e-05 |
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Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
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Cloud Databases: New Techniques, Challenges, and Opportunities |
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VLDB |
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| 10,934 |
Native Cloud Object Storage in Db2 Warehouse: Implementing a Fast and Cost-Efficient Cloud Storage Architecture |
2024 |
SIGMOD |
4.1945683e-05 |
| 4,961 |
Releasing Cloud Databases from the Chains of Performance Prediction Models |
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CIDR |
5.7984657e-05 |
| 11,588 |
A Framework for Emulating Database Operations in Cloud Data Warehouses |
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SIGMOD |
4.1945683e-05 |
| 8,792 |
Database Optimization for the Cloud: Where Costs, Partial Results, and Consumer Choice Meet |
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CIDR |
4.4506724e-05 |
| 9,848 |
Saving Money for Analytical Workloads in the Cloud |
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VLDB |
4.2721228e-05 |
| 2,568 |
Towards Cost-Optimal Query Processing in the Cloud |
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VLDB |
8.5239227e-05 |