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Gequan Mo

dblp:358/2428 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0009-6059-1088ORCID · corroborated

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

Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 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
Memory systems · 76% Distributed systems · 24%
Software engineering, system software, and programming languages
2 papers
Operating systems · 100%

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

TopicWeightPapersLastEvidence papers
Operating systems › kernel › kernel design
microkernel
1.522025
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025
TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM · SOSP 2023
Operating systems › resource management › memory management › virtual memory
single-level store
1.522025
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025
TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM · SOSP 2023
Memory systems › non-volatile memory › persistent memory
whole-system persistence
1.522025
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025
TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM · SOSP 2023
Distributed systems › fault tolerance
checkpointing
1.122025
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025
TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM · SOSP 2023
Memory systems
non-volatile memory
0.922025
TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM · SOSP 2023
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025
Memory systems › non-volatile memory
persistent memory
0.912025
Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel · ACM Trans. Comput. Syst. 2025

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

tree-structured checkpointing · 1.7delayed external visibility · 1.7tree-structured state checkpoint · 1.3NVM · 1.3
YearPublicationVenuePosition
2025 Whole-system Persistence Made Efficient with Tree-structured Checkpointing on Microkernel
abstract
Whole-system persistence promises simplified application deployment and near-instantaneous recovery. This can be implemented using single-level store (SLS) through periodic checkpointing of ephemeral state to persistent devices. However, traditional SLSs suffer from two main issues on checkpointing efficiency and external synchrony, which are critical for low-latency services with persistence need. In this article, we note that the decentralized state of microkernel-based systems can be exploited to simplify and optimize state checkpointing. To this end, we propose TreeSLS, a whole-system persistent microkernel that simplifies the whole-system state maintenance to a capability tree and a failure-resilient checkpoint manager. TreeSLS further exploits the emerging non-volatile memory to minimize checkpointing pause time by eliminating the distinction between ephemeral and persistent devices. With efficient state maintenance, TreeSLS further proposes delayed external visibility to provide transparent external synchrony with little overhead. Evaluation on microbenchmarks and real-world applications (e.g., Memcached, Redis, and RocksDB) show that TreeSLS can complete a whole-system persistence in around 100 μs and even take a checkpoint every 1 ms with reasonable overhead to applications.
Mingkai Dong 0002, Fangnuo Wu, Gequan Mo, Haibo Chen 0001
ACM Trans. Comput. Syst.3
2023 TreeSLS: A Whole-system Persistent Microkernel with Tree-structured State Checkpoint on NVM
abstract
Whole-system persistence promises simplified application deployment and near-instantaneous recovery. This can be implemented using single-level store (SLS) through periodic checkpointing of ephemeral state to persistent devices. However, traditional SLSs suffer from two main issues on checkpointing efficiency and external synchrony, which are critical for low-latency services with persistence need.
Fangnuo Wu, Mingkai Dong 0002, Gequan Mo, Haibo Chen 0001
SOSP3