research-article

The search of the path MTU with QUIC

Authors:

Michael Tüxen,

Erwin P. RathgebAuthors Info & Claims

EPIQ '21: Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

Pages 22 - 28

https://doi.org/10.1145/3488660.3493805

Published: 07 December 2021 Publication History

Abstract

A data sender in an IP based network is only capable to efficiently use a network path if it knows the packet size limit of the path, i.e., the Path Maximum Transmission Unit (PMTU). The IETF recently specified a PMTU discovery framework for transport protocols like QUIC. This paper complements this specification by presenting a search algorithm. In addition, it defines several metrics and shows results of analyses for the algorithm with various PMTU candidate sequences using these metrics. We integrated the PMTU discovery with our algorithm into a QUIC simulation model. This paper describes the integration and presents measurements obtained by simulations.

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Cited By

Liu YWang XQu BZhao F(2024)ATVITSC: A Novel Encrypted Traffic Classification Method Based on Deep LearningIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.343344619(9374-9389)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3433446
Völker TTüxen M(2024)Impact of PTB Message Usage on Path MTU Discovery for QUIC2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639721(1-7)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639721
Völker TTüxen M(2023)Packet Too Big Detection and its Integration into QUIC2023 16th International Conference on Signal Processing and Communication System (ICSPCS)10.1109/ICSPCS58109.2023.10261130(1-10)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICSPCS58109.2023.10261130

Index Terms

The search of the path MTU with QUIC
1. General and reference
  1. Cross-computing tools and techniques
    1. Evaluation
    2. Metrics
2. Networks
  1. Network performance evaluation
    1. Network simulations
  2. Network protocols
    1. Transport protocols

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Published In

cover image ACM Conferences

EPIQ '21: Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

December 2021

45 pages

ISBN:9781450391351

DOI:10.1145/3488660

Copyright © 2021 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 07 December 2021

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CoNEXT '21

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SIGCOMM

CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies

December 7, 2021

Virtual Event, Germany

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EPIQ '21 Paper Acceptance Rate 6 of 8 submissions, 75%;

Overall Acceptance Rate 6 of 8 submissions, 75%

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Cited By

Liu YWang XQu BZhao F(2024)ATVITSC: A Novel Encrypted Traffic Classification Method Based on Deep LearningIEEE Transactions on Information Forensics and Security10.1109/TIFS.2024.343344619(9374-9389)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TIFS.2024.3433446
Völker TTüxen M(2024)Impact of PTB Message Usage on Path MTU Discovery for QUIC2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639721(1-7)Online publication date: 8-Oct-2024
https://doi.org/10.1109/LCN60385.2024.10639721
Völker TTüxen M(2023)Packet Too Big Detection and its Integration into QUIC2023 16th International Conference on Signal Processing and Communication System (ICSPCS)10.1109/ICSPCS58109.2023.10261130(1-10)Online publication date: 6-Sep-2023
https://doi.org/10.1109/ICSPCS58109.2023.10261130

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