Implementation and Performance Evaluation of TCP over QUIC Tunnels

[2504.10054] Implementation and Performance Evaluation of TCP over QUIC Tunnels Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Networking and Internet Architecture arXiv:2504.10054 (cs) [Submitted on 14 Apr 2025 ( v1 ), last revised 7 Oct 2025 (this version, v2)] Title: Implementation and Performance Evaluation of TCP over QUIC Tunnels Authors: Xuanhong Guo , Zekun Bao , Ying Chen View a PDF of the paper titled Implementation and Performance Evaluation of TCP over QUIC Tunnels, by Xuanhong Guo and 2 other authors View PDF HTML (experimental) Abstract: QUIC, a UDP-based transport protocol, addresses several limitations of TCP by offering built-in encryption, stream multiplexing, and improved loss recovery. To extend these benefits to legacy TCP-based applications, this paper explores the implementation and evaluation of a TCP over QUIC tunneling approach. A lightweight, stream-based tunnel is constructed using the Rust-based Quinn library, enabling TCP traffic to traverse QUIC connections transparently. Performance is evaluated under varying network conditions, including packet loss, high latency, and out-of-order delivery. Results indicate that TCP over QUIC maintains significantly higher throughput than native TCP in lossy or unstable environments, with up to a high improvement under 20\% packet loss. However, under ideal network conditions, tunneling introduces modest overhead due to encryption and user-space processing. These findings provide insights into the trade-offs of TCP over QUIC tunneling and its suitability for deployment in dynamic or impaired networks. Subjects: Networking and Internet Architecture (cs.NI) Cite as: arXiv:2504.10054 [cs.NI] (or arXiv:2504.10054v2 [cs.NI] for this version) https://doi.org/10.48550/arXiv.2504.10054 Focus to learn more arXiv-issued DOI via DataCite Related DOI : https://doi.org/10.1007/978-981-95-8417-8_36 Focus to learn more DOI(s) linking to related resources Submission history From: Xuanhong Guo [ view email ] [v1] Mon, 14 Apr 2025 09:57:35 UTC (240 KB) [v2] Tue, 7 Oct 2025 02:35:13 UTC (245 KB) Full-text links: Access Paper: View a PDF of the paper titled Implementation and Performance Evaluation of TCP over QUIC Tunnels, by Xuanhong Guo and 2 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.NI < prev | next > new | recent | 2025-04 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? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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