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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
hb092092b12d385ac
Venue
CIDR
Year
2024
Pagerank
5.5789764e-05
Overall Rank
7,169 | 51.95%
DOI
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(CC BY 4.0)
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{zhang_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{Cost-Intelligent Data Analytics in the Cloud}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Zhang, Huanchen and Liu, Yihao and Yan, Jiaqi},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 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.
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52
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0.00024554257
224
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2017
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380
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1998
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0.00019530546
458
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2018
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0.00017870238
545
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0.0001657599
651
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0.00015126716
913
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2020
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1,415
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0.00010707308
1,716
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2020
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9.7923765e-05
1,783
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2021
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9.6536753e-05
2,162
Towards Cost-Optimal Query Processing in the Cloud
2021
VLDB
8.9192007e-05
2,531
Multi-Objective Parametric Query Optimization
2015
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8.3140235e-05
2,622
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2016
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8.1976067e-05
2,828
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7.9476509e-05
2,878
Choosing A Cloud DBMS: Architectures and Tradeoffs
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7.8955094e-05
3,682
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3,941
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3,959
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6.28918e-05
5,248
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6.1980997e-05
7,332
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2018
VLDB
5.5351368e-05
8,188
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2023
SIGMOD
5.3649397e-05
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