OLTP Engines on Modern Storage Architectures

Online transaction processing (OLTP) engines are crucial components of database systems, facing significant challenges due to the rapid growth of data on the Internet. Memory-oriented OLTP engines struggle with the cost and capacity limitations of hosting large data volumes, while disk-oriented engines suffer performance degradation when their working set size exceeds available memory. Limitations in DRAM density and disk latency hinder scalability and service quality, complicating large-scale data management and transaction execution.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3725633
Citations
1
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
1.49
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article

OLTP Engines on Modern Storage Architectures

Daokun Hu, Quanqing Xu, Chuanhui Yang
1 citations
Advanced Data Storage Technologies
1.49
article

OLTP Engines on Modern Storage Architectures

Daokun Hu, Quanqing Xu, Chuanhui Yang
article en
1 citations

Abstract

Online transaction processing (OLTP) engines are crucial components of database systems, facing significant challenges due to the rapid growth of data on the Internet. Memory-oriented OLTP engines struggle with the cost and capacity limitations of hosting large data volumes, while disk-oriented engines suffer performance degradation when their working set size exceeds available memory. Limitations in DRAM density and disk latency hinder scalability and service quality, complicating large-scale data management and transaction execution.

Affordable and clean energy
Openalex Percentile: Top 16%
Advanced Data Storage Technologies
1.49
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OLTP Engines on Modern Storage Architectures — Daokun Hu, Quanqing Xu, et al. · (2025) | TGRS Research Map | TGRS