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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
4.9769913e-05
Overall Rank
11,439 | 23.12%
DOI
10.14778/3773731.3773739
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(CC BY-NC-ND 4.0)
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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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Outgoing Citations (Sorted by Pagerank)
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1979
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0.0023943337
14
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2005
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15
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2015
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52
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2016
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0.00041210636
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2017
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681
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2022
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890
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2015
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932
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2020
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940
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2011
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2020
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2013
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0.00011404978
1,289
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2021
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0.00011159167
1,764
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2020
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9.6959345e-05
1,790
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2016
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2,968
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2019
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7.8004755e-05
3,311
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2023
VLDB
7.4364696e-05
3,565
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7.200937e-05
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Intelligent Scaling in Amazon Redshift
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6.4768105e-05
4,677
AutoSteer: Learned Query Optimization for Any SQL Database
2023
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6.4721041e-05
7,163
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5.5935766e-05
7,869
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5.4342182e-05
9,053
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9,192
DBSeer: Pain-free Database Administration through Workload Intelligence
2015
VLDB
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