文章基本信息

标题：Transport Layer Performance In DASH Bottlenecks
本地全文：下载
作者：Koffka Khan ; Leah Joseph ; Emilie Ramsahai 等
期刊名称：International Journal of Advanced Networking and Applications
电子版ISSN：0975-0290
出版年度：2021
卷号：13
期号：3
页码：5007-5015
DOI：10.35444/IJANA.2021.13310
语种：English
出版社：Eswar Publications
摘要：A lot of research has been done in the area of TCP long-lived (TLL) and short-lived flows and well as UDP but there is limited research done on how they can affect adaptive video streaming at a single household bottleneck router. The goal of Adaptive streaming is to deliver videos to the user in the most efficient way possible and in the best quality possible. Several factors can affect the quality of videos including internet connection and other applications using the same router. It is important to note which applications can negatively affect streaming and cause issues such as poor-quality videos and buffering. This paper investigates the impact that various applications that use TCP long-lived flows have on streaming and its effect is compared to applications that use UDP flows. The aim is to determine which type of flow affects adaptive streaming the most. This investigation is carried out with the use of the TAPAS (a Tool for rApid Prototyping of Adaptive Streaming) player. Live experiments were conducted at a household bottleneck link with a client player, a TCP or UDP application. We show that UDP flows disrupt adaptive video streaming to a greater extent when compared to TCP TLL flows.
关键词：Adaptive streaming;bottleneck;live experiments;metrics;TAPAS;TCP long-lived flows;TCP shortlived flows;UDP flows