Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Mahsa Noroozi
  • Flavio Gallistl
  • Majid Noroozi

External Research Organisations

  • University of Memphis
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Details

Original languageEnglish
Title of host publicationAdvances in Information and Communication
Subtitle of host publicationProceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages78-93
Number of pages16
ISBN (electronic)978-3-031-53963-3
ISBN (print)9783031539626
Publication statusPublished - 17 Mar 2024
EventFuture of Information and Communication Conference, FICC 2024 - Berlin, Germany
Duration: 4 Apr 20245 Apr 2024

Publication series

NameLecture Notes in Networks and Systems
Volume920 LNNS
ISSN (Print)2367-3370
ISSN (electronic)2367-3389

Abstract

Multipath QUIC is a transport protocol that allows for the use of multiple network interfaces for a single connection. It thereby offers, on the one hand, the possibility to gather a higher throughput, while, on the other hand, multiple paths can also be used to transmit data redundantly. Selective redundancy combines these two applications and thereby offers the potential to transmit time-critical data redundantly. This paper considers scenarios where data with real-time requirements are transmitted redundantly while at the same time, non-critical data should make use of the aggregated throughput. A new model called congestion window reservation is proposed, which enables an immediate transmission of time-critical data. The performance of this method and its combination with selective redundancy is evaluated with real data. The results show that this technique leads to a smaller end-to-end latency and higher reliability for periodically generated priority data.

Keywords

    Congestion window reservation, Low latency, Redundancy, Scheduling model

ASJC Scopus subject areas

Cite this

Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation. / Noroozi, Mahsa; Gallistl, Flavio; Noroozi, Majid.
Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2024. p. 78-93 (Lecture Notes in Networks and Systems; Vol. 920 LNNS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Noroozi, M, Gallistl, F & Noroozi, M 2024, Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation. in K Arai (ed.), Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2. Lecture Notes in Networks and Systems, vol. 920 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 78-93, Future of Information and Communication Conference, FICC 2024, Berlin, Germany, 4 Apr 2024. https://doi.org/10.48550/arXiv.2305.03684, https://doi.org/10.1007/978-3-031-53963-3_8
Noroozi, M., Gallistl, F., & Noroozi, M. (2024). Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation. In K. Arai (Ed.), Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2 (pp. 78-93). (Lecture Notes in Networks and Systems; Vol. 920 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.48550/arXiv.2305.03684, https://doi.org/10.1007/978-3-031-53963-3_8
Noroozi M, Gallistl F, Noroozi M. Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation. In Arai K, editor, Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2. Springer Science and Business Media Deutschland GmbH. 2024. p. 78-93. (Lecture Notes in Networks and Systems). doi: 10.48550/arXiv.2305.03684, 10.1007/978-3-031-53963-3_8
Noroozi, Mahsa ; Gallistl, Flavio ; Noroozi, Majid. / Performance Evaluation of a New Scheduling Model Using Congestion Window Reservation. Advances in Information and Communication: Proceedings of the 2024 Future of Information and Communication Conference (FICC), Volume 2. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2024. pp. 78-93 (Lecture Notes in Networks and Systems).
Download
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