EDBT 2026 Demo / reviewers in the wild / expert
Shuiyong He
dblp:371/8458
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Storage systems › key-value storage
compaction |
0.8 | 1 | 2024 | WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDs · ACM Trans. Archit. Code Optim. 2024 |
Storage systems
flash and SSD |
0.8 | 1 | 2024 | 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 |
0.8 | 1 | 2024 | 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 |
0.8 | 1 | 2024 | 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 |
0.2 | 1 | 2024 | 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 |
0.2 | 1 | 2024 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | WA-Zone: Wear-Aware Zone Management Optimization for LSM-Tree on ZNS SSDsabstractZNS 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 |