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Shuanglong Zhang

dblp:176/4995 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2020
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

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 · 89% High-performance computing · 11%

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

TopicWeightPapersLastEvidence papers
Storage systems
file systems		 0.722020
The Composite-File File System: Decoupling One-to-One Mapping of Files and Metadata for Better Performance · ACM Trans. Storage 2020
The Composite-file File System: Decoupling the One-to-One Mapping of Files and Metadata for Better Performance · FAST 2016
Storage systems › file systems
file system design		 0.212016
The Composite-file File System: Decoupling the One-to-One Mapping of Files and Metadata for Better Performance · FAST 2016
High-performance computing
performance optimization		 0.112020
The Composite-File File System: Decoupling One-to-One Mapping of Files and Metadata for Better Performance · ACM Trans. Storage 2020
Storage systems
metadata management		 0.112016
The Composite-file File System: Decoupling the One-to-One Mapping of Files and Metadata for Better Performance · FAST 2016

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

many-to-one mapping · 0.4file system design · 0.2
YearPublicationVenuePosition
2020 The Composite-File File System: Decoupling One-to-One Mapping of Files and Metadata for Better Performance
abstract
The design and implementation of traditional file systems typically use the one-to-one mapping of logical files to their physical metadata representations. File system optimizations generally follow this rigid mapping and miss opportunities for an entire class of optimizations. We designed, implemented, and evaluated a composite-file file system, which allows many-to-one mappings of files to metadata. Through exploring different mapping strategies, our empirical evaluation shows up to a 27% performance improvement under web server and software development workloads, for both disks and SSDs. This result demonstrates that our approach of relaxing file-to-metadata mapping is promising.
Shuanglong Zhang, Robert Roy, Leah Rumancik, An-I Wang
 ACM Trans. Storage1
2016 The Composite-file File System: Decoupling the One-to-One Mapping of Files and Metadata for Better Performance
Shuanglong Zhang, Helen Catanese, An-I Wang
 FAST1