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Zeyu Niu

dblp:437/0388 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0004-5758-9933ORCID · reported

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

Systems, architecture and hardware · 1 · 1 first-author · 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 · 84% Distributed systems · 16%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
flash and SSD
1.012026
Crash-Consistent SSD Array With Hardware-Guaranteed Transactional Atomicity · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Storage systems › storage reliability
RAID
0.312026
Crash-Consistent SSD Array With Hardware-Guaranteed Transactional Atomicity · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Storage systems
storage reliability
0.312026
Crash-Consistent SSD Array With Hardware-Guaranteed Transactional Atomicity · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026
Distributed systems › transaction processing
transaction atomicity
0.312026
Crash-Consistent SSD Array With Hardware-Guaranteed Transactional Atomicity · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2026

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

flash translation layer · 1.0array-wide transaction commit protocol · 1.0
YearPublicationVenuePosition
2026 Crash-Consistent SSD Array With Hardware-Guaranteed Transactional Atomicity
abstract
Crash consistency is a critical challenge that storage systems need to address carefully in multiple layers, including the database, file system, and block-layer RAID. Software approaches typically resort to logging to ensure transactional atomicity, which causes significant performance overhead and write amplification over underlying high-speed SSDs. Motivated by the out-of-place update feature of SSD-internalflash translation layer (FTL), previous studies propose crash-consistent SSDs to offload transactional atomicity guarantee and demonstrate their effectiveness in eliminating software-based logging overheads. However, existing hardware offloading approaches only consider single-SSD systems and would fail in an SSD array. This paper presents a crash-consistent SSD array, using FTLs and coordinating multiple SSDs to provide transactional atomicity across the array. The key is to design anarray-wide transaction commit (ARC)protocol, which resolves the multi-SSD coordination challenge and tolerates disk failures. We implement an ARC array manager and ARC SSDs to verify the design. Two case studies are conducted, where the ARC array is utilized to address the transaction logging overhead in the SQLite database and the stripe write-hole problem in the RAID subsystem. Experimental results demonstrate that the ARC SSD array can improve system performance by 32% to 93% and reduce write amplification by 39% to 49%, on average, compared with software-based logging approaches.
Zeyu Niu, Xiang Chen 0028, You Zhou 0009, Zibin Sun, Zhihu Tan, Changsheng Xie 0001, Fei Wu 0005
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.1