Distributed Data Persistency
Distributed Data Persistency
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DOI：
10.1145/3466752.3480060
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发表时间：
2021-10
期刊：
影响因子：
3.6
通讯作者：
Apostolos Kokolis;Antonis Psistakis;Benjamin Reidys;Jian Huang;J. Torrellas
中科院分区：
文献类型：
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作者：
Apostolos Kokolis;Antonis Psistakis;Benjamin Reidys;Jian Huang;J. Torrellas
分布式应用程序(如键值存储和数据库)通过复制不同节点的内存中的记录，并使用数据一致性协议来确保副本之间的一致性，从而提供容错。在这种环境中，非易失性存储器(NVM)提供了实现高性能数据持久性的能力。然而，目前还不清楚如何将NVM内存持久性模型与现有的数据一致性框架捆绑在一起。本文提出分布式数据持久化(DDP)模型的概念，它是分布式系统中内存持久化模型和数据一致性模型的结合。我们利用可见点和持久点的概念对一致性和持久性之间的相互作用进行了推理。我们为几种DDP模型设计了低延迟分布式协议，并研究了性能、持久性和提供给程序员的直观性之间的权衡。
Distributed applications such as key-value stores and databases provide fault tolerance by replicating records in the memories of different nodes, and using data consistency protocols to ensure consistency across replicas. In this environment, nonvolatile memory (NVM) offers the ability to attain high-performance data durability. However, it is unclear how to tie NVM memory persistency models to the existing data consistency frameworks. In this article, we propose the concept of distributed data persistency (DDP) model, which is the binding of the memory persistency model with the data consistency model in a distributed system. We reason about the interaction between consistency and persistency by using the concepts of visibility point and durability point. We design low-latency distributed protocols for several DDP models, and investigate the tradeoffs between performance, durability, and intuition provided to the programmer.