T amias : Feedback-Guided Systematic Concurrency Exploration for Transparent Distributed System Fuzzing
Congyu Liu, Yaoxu Song, Pedro Fonseca, Yongle Zhang
2026Year
Abstract
Existing distributed system fuzzers are limited by coarsegrained, nondeterministic event control and weak support for systematic schedule mutation. They rely on timing perturbations (e.g., injecting delays), which can influence execution but do not precisely realize the fine-grained event orderings that trigger many distributed bugs. In addition, they do not integrate systematic schedule exploration with mutation, making exploration less effective in large search spaces.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get a5386255-d13b-44d5-ad84-649afcf0b1a8Related papers
- Feedback-guided Adaptive Testing of Distributed Systems DesignsAo Li, Ankush Desai, Rohan PadhyeNSDI 2026 · 2 citations
- Concurrency Fuzzing of the Linux Kernel with eBPFJiacheng Xu, Dylan Wolff, Xing Yi Han, Jialin Li et al.USENIX Security 2026
- kSTEP: Characterization and Deterministic Testing of Linux CPU Scheduler BugsTingjia Cao, Shawn (Wanxiang) Zhong, Caeden Whitaker, Ke Han et al.OSDI 2026 · 1 citation
- DARWIN: Survival of the Fittest Fuzzing MutatorsPatrick Jauernig, Domagoj Jakobovic, Stjepan Picek, Emmanuel Stapf et al.NDSS 2023
- Greybox Fuzzing for Concurrency TestingDylan Wolff, Zheng Shi, Gregory J. Duck, Umang Mathur et al.ASPLOS 2024 · 19 citations
