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Maintaining QoS-aware and Resilient Path Programmability for Metaverse in SD-WANs

Authors:

Songshi Dou,

Li Qi,

Zehua GuoAuthors Info & Claims

ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference - China 2023

Pages 81 - 82

https://doi.org/10.1145/3603165.3607407

Published: 25 September 2023 Publication History

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Abstract

To improve the performance of the metaverse, it is of great importance to maintain path programmability, which enables dynamic flow control to achieve low latency for metaverse applications in Software-Defined Wide Area Networks (SD-WANs), especially when controllers fail. In this paper, we propose a QoS-aware path programmability recovery scheme during controller failures, which utilizes the P4 Runtime to achieve fine-grained flow-controller remapping. Simulation results demonstrate that the proposed solution can recover all metaverse flows, improve the total recovery benefit by up to 375%, and substantially reduce the communication overhead of metaverse flows compared wtih baselines.

References

[1]

2023. P4Runtime Specification version 1.3.0. https://p4.org/p4-spec/p4runtime/main/P4Runtime-Spec.html.

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[2]

Songshi Dou 2021. Matchmaker: Maintaining network programmability for Software-Defined WANs under multiple controller failures. Computer Networks 192 (2021), 108045.

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[3]

Zehua Guo 2019. RetroFlow: Maintaining control resiliency and flow programmability for software-defined WANs. In IWQoS’19. 1–10.

Google Scholar

[4]

Penny Sweetser, Zane Rogalewicz, and Qingyang Li. 2019. Understanding enjoyment in VR games with GameFlow. In VRST’19. 1–2.

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Zhaohua Wang 2021. Examination of WAN traffic characteristics in a large-scale data center network. In IMC’21. 1–14.

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Published In

ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference - China 2023

July 2023

173 pages

ISBN:9798400702334

DOI:10.1145/3603165

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 September 2023

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Poster
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Refereed limited

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SongShan Laboratory Fund
Zhejiang Lab Open Research Project
National Natural Science Foundation of China

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ACM TURC '23

ACM TURC '23: ACM Turing Award Celebration Conference 2023

July 28 - 30, 2023

Wuhan, China

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Abstract

References

Recommendations

ARES: Predictable Traffic Engineering under Controller Failures in SD-WANs

Path Programmability Recovery under Controller Failures for SD-WANs: Recent Advances and Future Research Challenges

Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures

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