DiverseFT：利用大语言模型实现容错系统多样化

Computer Science > Distributed, Parallel, and Cluster Computing arXiv:2609.18512 (cs) [Submitted on 16 Sep 2026] Title:DiverseFT: Diversifying Fault-Tolerant Systems using LLMs Authors:Arne Vogel, Christian Berger, Rüdiger Kapitza View a PDF of the paper titled DiverseFT: Diversifying Fault-Tolerant Systems using LLMs, by Arne Vogel and Christian Berger and R\"udiger Kapitza View PDF Abstract:Fault-tolerant agreement protocols fail if replicas share a common flaw that simultaneously affects more replicas than the tolerable threshold. Therefore replicas should ideally fail independently, which can be achieved through diversification. However, in practice, often the same protocol implementation is shared by all replicas which is not surprising given that the provision of multiple diverse implementations is difficult and highly laborious. This poses a major risk, as a shared protocol implementation is a prime candidate for common bugs due to its complexity. With DiverseFT, we demonstrate how, given a reference implementation, Large Language Models (LLMs) can be utilised for the automated and scalable generation of code that compiles, passes tests, and crucially differs semantically/binary-wise, that can re- place code in the reference implementation, thereby significantly reducing diversification costs. We demonstrate the feasibility of diversification of replication protocol implementations using LLMs by diversifying three implementations: PBFT, HotStuff, and Raft, showing how up to 65% of the codebase can be diversified. Subjects: Distributed, Parallel, and Cluster Computing (cs.DC) Cite as: arXiv:2609.18512 [cs.DC] (or arXiv:2609.18512v1 [cs.DC] for this version) https://doi.org/10.48550/arXiv.2609.18512 Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Arne Vogel [view email] [v1] Wed, 16 Sep 2026 11:45:06 UTC (511 KB) Full-text links: Access Paper: View a PDF of the paper titled DiverseFT: Diversifying Fault-Tolerant Systems using LLMs, by Arne Vogel and Christian Berger and R\"udiger Kapitza View PDF TeX Source view license Current browse context: cs.DC new | recent | 2026-09 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)