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Puyi He

dblp:385/1034 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0001-8924-9392ORCID · reported

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

Systems, architecture and hardware · 2 · 2 since 2021Databases, data management, data science and information retrieval · 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
2 papers
Storage systems · 74% Memory systems · 26%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
file systems
1.922026
A Transparent NVM Acceleration Framework for Disk File Systems · ACM Trans. Storage 2026
Boosting File Systems Elegantly: A Transparent NVM Write-ahead Log for Disk File Systems · FAST 2025
Memory systems
non-volatile memory
1.222026
Boosting File Systems Elegantly: A Transparent NVM Write-ahead Log for Disk File Systems · FAST 2025
A Transparent NVM Acceleration Framework for Disk File Systems · ACM Trans. Storage 2026
Storage systems › logging
write-ahead logging
0.912025
Boosting File Systems Elegantly: A Transparent NVM Write-ahead Log for Disk File Systems · FAST 2025
Storage systems
crash consistency
0.312026
A Transparent NVM Acceleration Framework for Disk File Systems · ACM Trans. Storage 2026
Storage systems
logging
0.312026
A Transparent NVM Acceleration Framework for Disk File Systems · ACM Trans. Storage 2026

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

log structure · 1.0garbage collection · 1.0crash recovery · 1.0
YearPublicationVenuePosition
2026 A Transparent NVM Acceleration Framework for Disk File Systems
abstract
We propose NVLog, an NVM-based acceleration framework for disk file systems, designed to transparently harness the high performance of NVM within the legacy storage stack. NVLog provides on-demand byte-granularity sync absorption, reserving the fast DRAM path for asynchronous operations, meanwhile occupying NVM space only temporarily. To accomplish this, we designed a highly efficient log structure, developed mechanisms to address heterogeneous crash consistency, optimized for small writes, and implemented robust crash recovery and garbage collection methods. Compared to previous solutions, NVLog is lighter, more stable, and delivers higher performance, all while leveraging the mature kernel software stack and avoiding data migration overhead. Experimental results demonstrate that NVLog can accelerate disk file systems by up to 15.09x and outperform NOVA and SPFS in various scenarios by up to 3.72x and 324.11x, respectively.
Juncheng Hu 0002, Haoyang Wei, Chenju Pei, Puyi He, Tengfei Li 0004, Xilong Che
ACM Trans. Storage6
2025 Boosting File Systems Elegantly: A Transparent NVM Write-ahead Log for Disk File Systems
Xilong Che, Haoyang Wei, Puyi He, Juncheng Hu 0002
FAST5