Persisting RB-Tree into NVM in a Consistency Perspective

Author:

Wang Chundong1ORCID,Wei Qingsong2,Wu Lingkun2,Wang Sibo3,Chen Cheng4,Xiao Xiaokui5,Yang Jun2,Xue Mingdi2,Yang Yechao2

Affiliation:

1. Singapore University of Technology and Design and Data Storage Institute, A*STAR

2. Data Storage Institute, A*STAR, Fusionopolis Way, Singapore

3. The University of Queensland and Nanyang Technological University, Brisbane, Australia

4. Data Storage Institute, A*STAR and National University of Singapore

5. Nanyang Technological University, Nanyang Avenue, Singapore

Abstract

Byte-addressable non-volatile memory (NVM) is going to reshape conventional computer systems. With advantages of low latency, byte-addressability, and non-volatility, NVM can be directly put on the memory bus to replace DRAM. As a result, both system and application softwares have to be adjusted to perceive the fact that the persistent layer moves up to the memory. However, most of the current in-memory data structures will be problematic with consistency issues if not well tuned with NVM. This article places emphasis on an important in-memory structure that is widely used in computer systems, i.e., the Red/Black-tree (RB-tree). Since it has a long and complicated update process, the RB-tree is prone to inconsistency problems with NVM. This article presents an NVM-compatible consistent RB-tree with a new technique named cascade-versioning . The proposed RB-tree (i) is all-time consistent and scalable and (ii) needs no recovery procedure after system crashes. Experiment results show that the RB-tree for NVM not only achieves the aim of consistency with insignificant spatial overhead but also yields comparable performance to an ordinary volatile RB-tree.

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A read-efficient and write-optimized hash table for Intel Optane DC Persistent Memory;Future Generation Computer Systems;2024-12

2. Snapshotting Mechanisms for Persistent Memory-Mapped Files;Proceedings of the 2024 Workshop on Advanced Tools, Programming Languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems;2024-06-17

3. A performance study of optane persistent memory: from storage data structures' perspective;CCF Transactions on High Performance Computing;2022-09-24

4. CFFS: A Persistent Memory File System for Contiguous File Allocation With Fine-Grained Metadata;IEEE Access;2022

5. scList: A PCRAM-based Hybrid Memory Management Scheme;2021 IEEE 19th International Conference on Embedded and Ubiquitous Computing (EUC);2021-10

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3