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Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures
Summary: Data-access analysis shows shared-storage OLTP with multiple writers plus cache coherence scales writes and skewed reads by on-demand hot-tuple caching. Avoids manual partitioning and pervasive 2PC of shared-nothing systems, demonstrating practical merits and open research challenges.
(summarized by gpt-5-mini on Feb 09 2026)
Paper ID
h2ff66624a433b935
Venue
CIDR
Year
2023
Pagerank
5.8256214e-05
Overall Rank
6,274 | 57.84%
DOI
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(CC BY 4.0)
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{ziegler_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Ziegler, Tobias and Bernstein, Philip A. and Leis, Viktor and Binnig, Carsten},
year = {2023}
}
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