一句话：指出现有云原生数据库解聚架构尚未纳入持久内存，并研究将其融入的方案。
随着商品化持久内存（PM）硬件的出现，存储层级格局发生变化。PM 具有大容量、低延迟、字节可寻址和持久性等特性，可为数据库系统带来多重收益。然而，当前流行的云原生数据库解聚架构尚未将 PM 纳入其中。本文针对这一空白，研究如何将持久内存集成到云原生关系数据库的解聚架构中。给出的摘要仅概述了问题与动机，未提供具体方法、系统实现或实验评估信息，因此无法从摘要判断关键结果与定量收益。
The recent emergence of commodity persistent memory (PM) hardware has altered the landscape of the storage hierarchy. It brings multi-fold benefits to database systems, with its large capacity, low latency, byte addressability, and persistence. However, PM has not been incorporated into the popular disaggregated architecture of cloud-native databases.
@inproceedings{paperbot10087,
title = {Persistent Memory Disaggregation for Cloud-Native Relational Databases},
author = {Chaoyi Ruan and Yingqiang Zhang and Chao Bi and Xiaosong Ma and Hao Chen and Feifei Li and Xinjun Yang and Cheng Li and Ashraf Aboulnaga and Yinlong Xu},
booktitle = {ASPLOS},
year = {2023},
doi = {10.1145/3582016.3582055}
}