Monitoring of User Generated Video Broadcasting Services

WISMM '14 Pub Date : 2014-11-07 DOI:10.1145/2661714.2661726
Denny Stohr, Stefan Wilk, W. Effelsberg
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引用次数: 4

Abstract

Mobile video broadcasting services offer users the opportunity to instantly share content from their mobile handhelds to a large audience over the Internet. However, existing data caps in cellular network contracts and limitations in their upload capabilities restrict the adoption of mobile video broadcasting services. Additionally, the quality of those video streams is often reduced by the lack of skills of recording users and the technical limitations of the video capturing devices. Our research focuses on large-scale events that attract dozens of users to record video in parallel. In many cases, available network infrastructure is not capable to upload all video streams in parallel. To make decisions on how to appropriately transmit those video streams, a suitable monitoring of the video generation process is required. For this scenario, a measurement framework is proposed that allows Internet-scale mobile broadcasting services to deliver samples in an optimized way. Our framework architecture analyzes three zones for effectively monitoring user-generated video. Besides classical Quality of Service metrics on the network state, video quality indicators and additional auxiliary sensor information is gathered. Aim of this framework is an efficient coordination of devices and their uploads based on the currently observed system state.
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监控用户生成的视频广播服务
移动视频广播服务为用户提供了从他们的移动手持设备通过互联网向大量观众即时分享内容的机会。然而,蜂窝网络合同中的现有数据上限及其上传能力的限制限制了移动视频广播服务的采用。此外,这些视频流的质量往往由于录制用户缺乏技能和视频捕捉设备的技术限制而降低。我们的研究重点是吸引数十名用户同时录制视频的大型活动。在许多情况下,可用的网络基础设施无法并行上传所有视频流。为了决定如何适当地传输这些视频流,需要对视频生成过程进行适当的监控。针对这种情况,提出了一种测量框架,允许互联网规模的移动广播服务以优化的方式提供样本。我们的框架架构分析了有效监控用户生成视频的三个区域。除了经典的网络状态服务质量指标外,还收集了视频质量指标和附加的辅助传感器信息。该框架的目的是基于当前观察到的系统状态有效地协调设备及其上传。
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