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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
5.5962258e-05
Overall Rank
7,160 | 51.87%
DOI
-
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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460
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0.00017842695
560
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0.00016403151
680
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0.00014828697
932
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0.00013008551
1,424
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0.00010719232
1,763
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2020
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9.7003359e-05
1,791
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2021
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9.6259014e-05
2,213
Towards Cost-Optimal Query Processing in the Cloud
2021
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8.8206114e-05
2,524
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8.3439125e-05
2,618
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8.2217101e-05
2,834
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7.9560627e-05
2,966
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7.8039817e-05
3,693
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6.2212838e-05
7,312
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2018
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5.5555613e-05
8,164
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2023
SIGMOD
5.3852872e-05
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