PEMI: Transparent Performance Enhancements for QUIC

QUIC, as the transport layer of the next-generation Web stack (HTTP/3), provides native security and performance improvements over TCP-based stacks. However, since QUIC encrypts both payload and headers, in-network assistance like Performance-Enhancing Proxy (PEP) is unavailable for QUIC. To achieve the similar optimization as TCP, some works seek to collaborate endpoints and middleboxes to provide in-network assistance for QUIC. But involving both host and in-network devices increases the difficulty of deployment in the Internet. In this paper, by analyzing the QUIC standard, implementations, and the locality of application traffic, we identify opportunities for transparent middleboxes to measure RTT and infer packet loss for QUIC connections, despite the absence of plaintext ACK information. We then propose PEMI as a concrete system that continuously measures RTT and infers lost packets, enabling fast retransmissions for QUIC. PEMI enables performance enhancement for QUIC in a completely transparent manner, without requiring any explicit cooperation from the endpoints. To maintain fairness and reduce harmful fast retransmissions during congestion, PEMI employs a delay-based congestion control and utilizes feedback-based methods to enforce CWND. Extensive evaluation results, including Mininet and trace-driven dynamic experiments, show that PEMI can significantly improve the performance of QUIC. For example, in the Mininet experiments, PEMI increases the goodput of file transfers by up to 2.5×, and reduces the 90th percentile jitter of RTC frames by 20-75%.

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Publication Details

Journal
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Published
2026-05-29
DOI
https://doi.org/10.1145/3805646
Citations
1
Primary Topic
Network Traffic and Congestion Control
Type
article
Field-Weighted Citation Impact
20.52

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article

PEMI: Transparent Performance Enhancements for QUIC

Z G Wang, Zeqi Lai, Yuming Hu, Chenxiang Sun et al.
1 citations
Proceedings of the ACM on Measurement and Analysis of Computing Systems
Network Traffic and Congestion Control
20.52
article

PEMI: Transparent Performance Enhancements for QUIC

Z G Wang, Zeqi Lai, Yuming Hu, Chenxiang Sun, Jie Zhang, Xiaohui Xie, Lei Zhang, Yong Cui
article en
1 citations

Abstract

QUIC, as the transport layer of the next-generation Web stack (HTTP/3), provides native security and performance improvements over TCP-based stacks. However, since QUIC encrypts both payload and headers, in-network assistance like Performance-Enhancing Proxy (PEP) is unavailable for QUIC. To achieve the similar optimization as TCP, some works seek to collaborate endpoints and middleboxes to provide in-network assistance for QUIC. But involving both host and in-network devices increases the difficulty of deployment in the Internet. In this paper, by analyzing the QUIC standard, implementations, and the locality of application traffic, we identify opportunities for transparent middleboxes to measure RTT and infer packet loss for QUIC connections, despite the absence of plaintext ACK information. We then propose PEMI as a concrete system that continuously measures RTT and infers lost packets, enabling fast retransmissions for QUIC. PEMI enables performance enhancement for QUIC in a completely transparent manner, without requiring any explicit cooperation from the endpoints. To maintain fairness and reduce harmful fast retransmissions during congestion, PEMI employs a delay-based congestion control and utilizes feedback-based methods to enforce CWND. Extensive evaluation results, including Mininet and trace-driven dynamic experiments, show that PEMI can significantly improve the performance of QUIC. For example, in the Mininet experiments, PEMI increases the goodput of file transfers by up to 2.5×, and reduces the 90th percentile jitter of RTC frames by 20-75%.

Proceedings of the ACM on Measurement and Analysis of Computing SystemsVol. 10(2)
University of Minnesota (US), Beijing University of Posts and Telecommunications (CN), Twin Cities Orthopedics (US), Tsinghua University (CN)
National Natural Science Foundation of China
Partnerships for the goals
Openalex Percentile: Top 1%
Network Traffic and Congestion Control
20.52
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