Optimizing Garbage Collection for ZNS SSDs via In-storage Data Migration and Address Remapping

Author:

Tan Zhenhua1ORCID,Long Linbo1ORCID,Shen Jingcheng1ORCID,Liu Renping1ORCID,Gao Congming2ORCID,Zhong Kan3ORCID,Jiang Yi1ORCID

Affiliation:

1. School of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongqing, China

2. School of Information Science and Engineering, Xiamen University, Xiamen, China

3. School of Big Data & Software Engineering, Chongqing University, Chongqing, China

Abstract

The NVMe Zoned Namespace (ZNS) is a high-performance interface for flash-based solid-state drives (SSDs), which divides the logical address space into fixed-size and sequential-write zones. Meanwhile, ZNS SSDs eliminate in-device garbage collection (GC) by shifting the responsibility of GC to the host. However, the host-side GC of ZNS SSDs is not efficient. On the one hand, data migration during GC first moves data to the host buffer and then writes back the transferred data to the new location in the SSD, resulting in an unnecessary end-to-end transfer overhead. On the other hand, due to the pre-configured mapping between zones and blocks, GC incurs a large block-to-block rewrite overhead, i.e., even if most of the data in a block of the victim zone is valid, the valid data will still be rewritten to another block in the target zone. To address these issues, this paper proposes a novel ZNS SSD design that features dynamic zone mapping, termed Brick-ZNS . Brick-ZNS implements two key functionalities: in-storage data migration and address remapping. New ZNS commands are first designed to realize in-storage data migration to avoid the end-to-end transfer overhead of GC while ensuring performance predictability. Then, a remapping strategy exploiting parallel physical blocks is proposed to reduce the large block-to-block rewrite overhead while ensuring zone-level access parallelism. The basic idea of the strategy is to directly remap the parallel physical blocks with a sufficient amount of valid data in the victim zone to the target zone, hence avoiding the large block-to-block rewrite overhead. Based on a full-stack SSD emulator, the evaluation results show that Brick-ZNS improves write throughput by 25% and SSD lifetime by 1.41 ×.

Publisher

Association for Computing Machinery (ACM)

Reference51 articles.

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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 USENIX Annual Technical Conference (ATC’21). 689–703.

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

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