WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs

Author:

Long Linbo1ORCID,He Shuiyong1ORCID,Shen Jingcheng1ORCID,Liu Renping1ORCID,Tan Zhenhua1ORCID,Gao Congming2ORCID,Liu Duo3ORCID,Zhong Kan4ORCID,Jiang Yi1ORCID

Affiliation:

1. Chongqing University of Posts and Telecommunications, China

2. Xiamen University, China

3. Chongqing University, China

4. Huawei Technologies, Co., Ltd., China

Abstract

ZNS SSDs divide the storage space into sequential-write zones, reducing costs of DRAM utilization, garbage collection, and over-provisioning. The sequential-write feature of zones is well-suited for LSM-based databases, where random writes are organized into sequential writes to improve performance. However, the current compaction mechanism of LSM-tree results in widely varying access frequencies (i.e., hotness) of data and thus incurs an extreme imbalance in the distribution of erasure counts across zones. The imbalance significantly limits the lifetime of SSDs. Moreover, the current zone-reset method involves a large number of unnecessary erase operations on unused blocks, further shortening the SSD lifetime. Considering the access pattern of LSM-tree, this article proposes a wear-aware zone-management technique, termed WA-Zone , to effectively balance inter- and intra-zone wear in ZNS SSDs. In WA-Zone, a wear-aware zone allocator is first proposed to dynamically allocate data with different hotness to zones with corresponding lifetimes, enabling an even distribution of the erasure counts across zones. Then, a partial-erase-based zone-reset method is presented to avoid unnecessary erase operations. Furthermore, because the novel zone-reset method might lead to an unbalanced distribution of erasure counts across blocks in a zone, a wear-aware block allocator is proposed. Experimental results based on the FEMU emulator demonstrate the proposed WA-Zone enhances the ZNS-SSD lifetime by 5.23×, compared with the baseline scheme.

Funder

National Natural Science Foundation of China

Chongqing High-Tech Research Key Program

Chongqing Natural Science Foundation Innovation and Development Joint Fund

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Reference48 articles.

1. What you can't forget

2. Matias Bjørling. 2019. From open-channel ssds to zoned namespaces. In Proceedings of the 2019 Linux Storage and Filesystems Conference.

3. Matias Bjørling, Abutalib Aghayev, Hans Holmberg, Aravind Ramesh, Damien Le Moal, Gregory R. Ganger, and George Amvrosiadis. 2021. ZNS: Avoiding the block interface tax for flash-based SSDs. In Proceedings of the 2021 USENIX Annual Technical Conference. 689–703.

4. Matias Bjørling, Javier Gonzalez, and Philippe Bonnet. 2017. LightNVM: The linux open-channel SSD subsystem. In Proceedings of the15th USENIX Conference on File and Storage Technologies. 359–374.

5. A Free-Space Adaptive Runtime Zone-Reset Algorithm for Enhanced ZNS Efficiency

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