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In-Network Video Quality Adaption using Packet Trimming at the Edge

Authors: Clayman, Stuart; Tuker, Mustafa; Karakis, Emre; Sayit, Muge;

In-Network Video Quality Adaption using Packet Trimming at the Edge

Abstract

This paper describes the effects of running innetwork quality adaption by trimming the packets of layered video streams at the edge. The video stream is transmitted using the BPP transport protocol, which is like UDP, but has been designed to be both amenable to trimming and to provide low-latency and high reliability. The traffic adaption uses the Packet Wash process of BPP on the transmitted Scalable Video Coding (SVC) video streams as they pass through a network function which is BPP-aware and embedded at the edge. Our previous work has either demonstrated the use of SDN controllers to directly implement Packet Wash, or the use of a network function in the core of the network to do the same task. This paper presents the first attempt to deploy and evaluate such a process in the edge. We compare the performance of transmitting video using BPP and the Packet Wash trimming, against alternative transmission schemes, namely TCP, UDP, and HTTP Adaptive Streaming (HAS). The results demonstrate that providing traffic engineering using in-network quality adaption using packet trimming, provides high quality at the receiver. © 2023 IEEE.

Dr S. Clayman is partially supported by Huawei Technologies Co., Ltd. This work is funded by TUBITAK Electric, Electronic and Informatics Research Group (EEEAG) under grant 121E373.

26th Conference on Innovation in Clouds, Internet and Networks, ICIN 2023 -- 6 March 2023 through 9 March 2023 -- 187475

121E373; Huawei Technologies

Gandi.net;Huawei;Nokia

Related Organizations
Keywords

SVC Video, High-speed Packet Processors, Packet networks, In networks, High Speed, Traffic Engineering, Packet Trimming, Scalable video coding, Edge computing, Scalable video coding video, Network functions, Packet trimming, High-speed packet processor, Scalable video-coding, Edge Computing, Packet processors, Trimming, Video streaming

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
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