Shuiyong He

dblp:371/8458 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0000-6806-8325ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › key-value storage
compaction
0.812024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024
Storage systems
flash and SSD
0.812024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024
Storage systems › key-value storage
LSM-tree
0.812024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024
Storage systems › flash and SSD › solid-state drive
zoned namespace SSD
0.812024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024
Storage systems › flash and SSD › SSD reliability
SSD lifetime
0.212024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024
Storage systems › flash and SSD › flash memory management
wear leveling
0.212024
WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024

Methods — techniques the papers use, named apart from their topics

wear-aware block allocation · 0.8partial-erase zone reset · 0.8
YearPublicationVenuePosition
2024 WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs
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.
Linbo Long, Shuiyong He, Jingcheng Shen, Renping Liu 0002, Zhenhua Tan, Congming Gao, Duo Liu 0002, Kan Zhong
ACM Trans. Archit. Code Optim.2