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CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics
Summary: CloudGlide: white-box simulation framework that couples a queueing-theoretic model with a discrete-event simulator to predict cost and latency of cloud analytics across provisioning, caching, scheduling, and pricing axes using real workload traces. Validated on industry traces and benchmarks to approximate diverse architectures and enable rapid what-if trade-off exploration without costly live deployments.
(summarized by gpt-5-mini on Feb 09 2026)
Paper ID
he1c3a5a609a01335
Venue
VLDB
Year
2025
Pagerank
4.9793485e-05
Overall Rank
11,433 | 23.14%
DOI
10.14778/3773731.3773739
Incoming Non-self Citations Over Time
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BibTeX Citation
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@article{misegiannis_vldb25,
title = {{CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics}},
author = {Misegiannis, Michail Georgoulakis and Ritter, Daniel and Leis, Viktor and Giceva, Jana},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {13},
pages = {5638--5651},
doi = {10.14778/3773731.3773739},
url = {https://doi.org/10.14778/3773731.3773739},
year = {2025}
}
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Citing Paper
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Venue
Pagerank
Outgoing Citations (Sorted by Pagerank)
Showing 33 of 33 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Pagerank
1
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1979
SIGMOD
0.0023947656
14
MonetDB/X100: Hyper-Pipelining Query Execution
2005
CIDR
0.00064031282
15
How Good Are Query Optimizers, Really?
2016
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0.00061066921
23
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2015
SIGMOD
0.00055406774
52
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2016
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0.00041219077
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2017
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0.00036684414
680
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2022
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889
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2015
SIGMOD
0.00013247362
932
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2020
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0.00013008551
940
Starfish: A Self-tuning System for Big Data Analytics
2011
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1,135
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2020
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0.00011891907
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2013
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0.00011410373
1,289
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2021
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0.00011162479
1,763
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2020
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9.7003359e-05
1,790
POLARIS: The Distributed SQL Engine in Azure Synapse
2020
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9.6272006e-05
1,791
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2021
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8.8206114e-05
2,268
PerfEnforce Demonstration: Data Analytics with Performance Guarantees
2016
SIGMOD
8.7208889e-05
2,966
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2019
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7.8039817e-05
3,316
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2023
VLDB
7.4373161e-05
3,563
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7.2042148e-05
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Intelligent Scaling in Amazon Redshift
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6.479878e-05
4,683
AutoSteer: Learned Query Optimization for Any SQL Database
2023
VLDB
6.4716143e-05
7,160
Cost-Intelligent Data Analytics in the Cloud
2024
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5.5962258e-05
7,864
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD
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VLDB
5.4367919e-05
9,045
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2024
CIDR
5.2311776e-05
9,182
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2015
VLDB
5.2116507e-05
9,458
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2025
VLDB
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