The QUIC Fix for Optimal Video Streaming

Palmer, Mirko; Krüger, Thorben; Chandrasekaran, B.; Feldmann, Anja

doi:10.1145/3284850.3284857

Cited by 44 publications

(38 citation statements)

References 39 publications

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“…Although these protocols offer advantages in terms of latency, the absence of adequate control mechanisms can be dramatic for the high bandwidth transmission of 6DoF content. Palmer et al address this issue for traditional video streaming by jointly optimizing the application and transport layer, using an adapted version of the QUIC protocol to reliably deliver key frames, while retrieving others without guarantees [9]. In this Time Bandwidth 1 1 1 1 1 1 2 3 3 3 2 2 1 2 2 1 2 2 3 3 Client HTTP Transport 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 3 3 3 3 3 2 2 2 2 2 1 1 1 1 1 Figure 3.…”

Section: A Application and Transport Layer Optimizationsmentioning

confidence: 99%

From Capturing to Rendering: Volumetric Media Delivery with Six Degrees of Freedom

et al. 2020

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Technological improvements are rapidly advancing holographic-type content distribution. Significant research efforts have been made to meet the low-latency and high-bandwidth requirements set forward by interactive applications such as remote surgery and virtual reality. Recent research made six degrees of freedom (6DoF) for immersive media possible, where users may both move their head and change their position within a scene. In this article, we present the status and challenges of 6DoF applications based on volumetric media, focusing on the key aspects required to deliver such services. Furthermore, we present results from a subjective study to highlight relevant directions for future research.

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Section: A Application and Transport Layer Optimizationsmentioning

confidence: 99%

From Capturing to Rendering: Volumetric Media Delivery with Six Degrees of Freedom

et al. 2020

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“…However, because these studies do not consider network conditions such as the throughput, loss ratio and the number of concurrent connections, aggressive downloads can lead to excessive competition and performance degradation. In Reference [23,24], QUIC was extended to support partial reliable transmission for the performance enhancement of multimedia applications. In partial reliable transmission, essential data were transmitted reliably and, less important data were transmitted unreliably to avoid retransmission.…”

Section: Related Workmentioning

confidence: 99%

“…However, latency reduction in the QUIC protocol is limited because it also sets a small initial congestion window and employs slow start. Several studies have been conducted focusing on performance improvement, implementation validation and security [19][20][21][22][23][24][25][26][27][28]. Among these studies, some authors have proposed latency reduction schemes for QUIC.…”

Section: Introductionmentioning

confidence: 99%

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Access Latency Reduction in the QUIC Protocol Based on Communication History

Jung¹,

2019

Electronics

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Internet traffic is experiencing rapid growth, with the majority of traffic generated from video steaming, web data services and Internet of Things. As these services include the transmission of small data, such as web pages, video chunks and sensing data, data latency affects the quality of experience rather than the throughput. Therefore, this study aims to decrease latency to improve the quality of the user experience. To this end, we measure the web service delay and throughput in mobile networks. The results indicate a low quality experience for mobile users, even though mobile networks support a large throughput. We therefore propose a light-weight latency reduction scheme for the Quick UDP Internet Connections (QUIC) protocol. The proposed scheme calculates the average congestion window, which is utilized as the initial congestion window when a new connection is established. The proposed scheme is evaluated through experiments on a testbed. The results show that our scheme reduces latency significantly. The results of this study can help improve user experiences of video streaming and web data services.

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“…Therefore, the video conferencing will experience a loss of fidelity if the delay caused by buffering exceeds 200 ms. For instance, Twitch is a live streaming platform that may also incorporate the playing of video games and a video on demand (VoD) system that allows automatic recording of live broadcasts to be watched later. 24–26…”

Section: Related Workmentioning

confidence: 99%

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

Ahmed

Barukab

2019

SIMULATION

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Real-time video communication has become one of the most significant applications extensively used by homogeneous/heterogeneous wireless network technologies, such as Wi-Fi, the Internet of things, the wireless sensor network (WSN), 5G, etc. This leads to enhanced deployment of multimedia streaming applications over wireless network technologies. In order to accomplish the optimal performance of real-time multimedia streaming applications over the homogeneous/heterogeneous wireless network, it is therefore necessary to develop a simulation tool-set that effectively measures the quality of service (QoS) for different multimedia streaming applications over transport layer protocols. This paper proposes an autonomous simulation tool (AST) that is entirely independent from the source code of transport layer protocols. Furthermore, the AST is integrated into NS-2 to evaluate the QoS of real-time video streaming over numerous transport layer protocols and it uses new QoS measurement tools to test the video delivery quality based on I-frames to speeds up the assessment of multimedia streaming quality and ensure high accuracy of performance metrics. The simulation results show that using the AST to simulate real-time multimedia stream results in between 13% and 36% higher delivery ratio and 150–250% less cumulative jitter delay compared with using baseline simulation tools. Also, the AST guarantees an optimal QoS performance measurements in terms of the peak signal-to-noise Ratio and visual quality of the received video.

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The QUIC Fix for Optimal Video Streaming

Cited by 44 publications

References 39 publications

From Capturing to Rendering: Volumetric Media Delivery with Six Degrees of Freedom

From Capturing to Rendering: Volumetric Media Delivery with Six Degrees of Freedom

Access Latency Reduction in the QUIC Protocol Based on Communication History

Autonomous framework simulation tools for real-time multimedia streaming over wireless ad-hoc networks

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