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Lu Zhang 0064

dblp:82/10609-64 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved

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

Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1

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
Memory systems · 52% Storage systems · 25% Distributed systems · 23%

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

TopicWeightPapersLastEvidence papers
Distributed systems
fault tolerance
0.412019
Pangolin: A Fault-Tolerant Persistent Memory Programming Library · USENIX ATC 2019
Memory systems
non-volatile memory
0.412019
Pangolin: A Fault-Tolerant Persistent Memory Programming Library · USENIX ATC 2019
Memory systems › non-volatile memory › persistent memory
persistent memory programming
0.412019
Pangolin: A Fault-Tolerant Persistent Memory Programming Library · USENIX ATC 2019
Storage systems › file systems › file system design
persistent memory file system
0.312017
NOVA-Fortis: A Fault-Tolerant Non-Volatile Main Memory File System · SOSP 2017
Storage systems
storage reliability
0.112019
Pangolin: A Fault-Tolerant Persistent Memory Programming Library · USENIX ATC 2019
Memory systems › non-volatile memory
non-volatile main memory
0.112017
NOVA-Fortis: A Fault-Tolerant Non-Volatile Main Memory File System · SOSP 2017

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

library design · 0.4
YearPublicationVenuePosition
2019 Pangolin: A Fault-Tolerant Persistent Memory Programming Library
Lu Zhang 0064, Steven Swanson
USENIX ATC1
2017 NOVA-Fortis: A Fault-Tolerant Non-Volatile Main Memory File System
abstract
Emerging fast, persistent memories will enable systems that combine conventional DRAM with large amounts of non-volatile main memory (NVMM) and provide huge increases in storage performance. Fully realizing this potential requires fundamental changes in how system software manages, protects, and provides access to data that resides in NVMM. We address these needs by describing an NVMM-optimized file system called NOVA-Fortis that is both fast and resilient in the face of corruption due to media errors and software bugs. We identify and propose solutions for the unique challenges in adding fault tolerance to an NVMM file system, adapt state-of-the-art reliability techniques to an NVMM file system, and quantify the performance and storage overheads of these techniques. We find that NOVA-Fortis' reliability features consume 14.8% of the storage for redundancy and reduce application-level performance by between 2% and 38% compared to the same file system with the features removed. NOVA-Fortis outperforms DAX-aware file systems without reliability features by 1.5x on average. It outperforms reliable, block-based file systems running on NVMM by 3x on average.
Jian Xu 0012, Lu Zhang 0064, Amir Saman Memaripour, Akshatha Gangadharaiah, Amit Borase, Tamires Brito Da Silva, Steven Swanson, Andy Rudoff
SOSP2