Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases

Memory disaggregation has become a major trend in cloud-native databases. However, most existing memory disaggregation solutions suffer from read/write amplification, limited bandwidth, inefficient recovery, and challenges in data sharing. Fortunately, the emerging CXL technology introduces new opportunities for memory disaggregation design in cloud-native databases.

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Publication Details

Published
2025-06-17
DOI
https://doi.org/10.1145/3722212.3724460
Citations
7
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
22.72
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article

Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases

Xinjun Yang, Jing Fang, B. Wang, Yuhui Wang et al.
7 citations
Cloud Computing and Resource Management
22.72
article

Unlocking the Potential of CXL for Disaggregated Memory in Cloud-Native Databases

Xinjun Yang, Jing Fang, B. Wang, Yuhui Wang, Guochun Fan, Hao Chen, Feifei Li, Yang Kong, Tao Huang, Weiwei Hu, Yingqiang Zhang, Jianjuan Jiang, James Kao
article en
7 citations

Abstract

Memory disaggregation has become a major trend in cloud-native databases. However, most existing memory disaggregation solutions suffer from read/write amplification, limited bandwidth, inefficient recovery, and challenges in data sharing. Fortunately, the emerging CXL technology introduces new opportunities for memory disaggregation design in cloud-native databases.

Alibaba Group (United States) (US), Alibaba Group (China) (CN)
Openalex Percentile: Top 1%
Cloud Computing and Resource Management
22.72
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