Towards Cost-Optimal Query Processing in the Cloud
Summary: Model-based approach jointly considers workload, hardware heterogeneity, and price to select cost-efficient cloud instances. The framework targets cost-optimal query processing and guides cloud-native DB evolution toward cost-aware design. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Viktor Leis (Friedrich-Alexander University Erlangen-Nuremberg)
- 2. Maximilian Kuschewski (Friedrich-Alexander University Erlangen-Nuremberg)
BibTeX Citation
@article{leis_vldb21,
title = {{Towards Cost-Optimal Query Processing in the Cloud}},
author = {Leis, Viktor and Kuschewski, Maximilian},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {9},
pages = {1606--1612},
doi = {10.14778/3461535.3461549},
url = {https://doi.org/10.14778/3461535.3461549},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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