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Virtualized Module for Distributed Quality Assessment Applied to Video Streaming in 5G Networks Environments

机译:用于分布式质量评估的虚拟化模块应用于5G网络环境中的视频流

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摘要

The success of streaming platforms and the expansion of advanced multimedia formats, such as UHD that presents 4K and 8K resolutions, demand better network conditions for transmitting higher amounts of data. 5G Networks offer a collection of improvements over their predecessors including an increase of bandwidth and lower latency. Additionally, 5G architecture allows the network nodes to improve their capabilities with the inclusion of Software-Defined Networking (SDN) and Network Function Virtualization (NFV) technologies, which provide an opportunity to control media flows and distribute the processing tools through the delocation of remote virtual machines. As a consequence of this fact, different types of applications for broadcast and multimedia analysis can be implemented for different purposes in the network distribution chain, such as image or audio assessment, video edition, metadata addition and other kinds of system processing. For this paper, among these applications, we present a software module that is able to assess video quality when applied in any point of the network in order to determine remotely the state of the network. This module known as “probe” checks the transmission through image evaluation metrics and sends a resulting report to the network backbone for communication the retransmission if necessary, to fulfill the requirements and demands of the users. Tests developed in different network distributions and with a variety of video sequences demonstrate the validity of this innovative software.
机译:流平台的成功和高级多媒体格式的扩展,如UHD,呈现4K和8K分辨率,需要更好的网络条件来传输更高量的数据。 5G网络提供了对其前辈的改进集,包括增加带宽和较低延迟的增加。此外,5G架构允许网络节点在包含软件定义的网络(SDN)和网络功能虚拟化(NFV)技术中,可以提高其功能,该技术提供控制媒体流程并通过遥控器分配处理工具的机会虚拟机。由于这一事实,可以在网络分配链中的不同目的来实现用于广播和多媒体分析的不同类型的应用,例如图像或音频评估,视频版,元数据添加和其他类型的系统处理。对于本文,在这些应用中,我们展示了一种软件模块,该软件模块能够在网络的任何点应用时评估视频质量,以便远程网络的网络。该模块称为“探测”通过图像评估指标检查传输,并将结果报告发送到网络骨干,以便如有必要,以满足用户的要求和需求。在不同的网络分布中开发的测试和各种视频序列展示了这种创新软件的有效性。

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