TCP video streaming and mobile networks: Not a love story, but better with context

详细信息    查看全文

• 作者：Florian Metzger ; ^a ; ^{florian.metzger@uni-due.de" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Eirini Liotou^b ; ^{eliotou@di.uoa.gr" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Christian Moldovan^a ; ^{christian.moldovan@uni-due.de" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Tobias Hoß ; feld^a ; ^{tobias.hossfeld@uni-due.de" class="auth_mail" title="E-mail the corresponding author}Author Vitae
• 关键词：Mobile networks ; TCP streaming ; Context factors
• 刊名：Computer Networks
• 出版年：2016
• 出版时间：9 November 2016
• 年：2016
• 卷：109
• 期：part_P2
• 页码：246-256
• 全文大小：1787 K

文摘

The rise in popularity of TCP-based video streaming in recent years is unbroken. These streaming services not just operate on wired access lines but more and more specifically target users of mobile networks as well. Yet it still remains difficult to evaluate the performance of such streaming approaches in mobile networks. This is especially critical as mobile networks exhibit much more potential for undesirable interactions between the network protocol layers and control plane properties on one side and the protocols and strategies of the application layer on the other side, ultimately resulting in scenarios with bad QoE for video streaming.

spara0006">This paper aims to rectify this lack of knowledge and understanding in a multi-pronged approach as follows: The first contribution provides an easy means to investigate such interactions with a streaming simulation framework built on ns-3. In a second contribution three exemplary scenarios within this framework are investigated in order to uncover the nature of such interactions. The final undertaking attempts to unravel the issues of the mobility scenario using context information. Such information can be collected through crowdsensing and collaboratively processed in a Big Data approach. This results in a tailor-made analytical solution through the formulation of a Mixed Integer Linear Program (MILP) that can prevent video stalling in this particular scenario.