论文标题
在网络边缘实时视频流的数据驱动路径选择
Data-Driven Path Selection for Real-Time Video Streaming at the Network Edge
论文作者
论文摘要
在本文中，我们提出了一个框架，用于动态选择无线通道，用于传递信息丰富的数据流以边缘服务器。我们提出的方法是数据驱动的，其中一个预测因子（其输出都可以告知频道选择器的决策，它是根据网络对先前发送的数据包进行的转换的可用数据构建的。提出的技术是在实时视频流以立即处理的上下文化的。我们框架的核心是探针的概念，即，在未使用的渠道上传输的简短的数据包爆发，以获取信息，同时对其他活动链接产生受控影响。结果表明，当预测输出被用来动态选择传输通道时，预测输出的高精度和接收到的视频质量的显着改善。
In this paper, we present a framework for the dynamic selection of the wireless channels used to deliver information-rich data streams to edge servers. The approach we propose is data-driven, where a predictor, whose output informs the decision making of the channel selector, is built from available data on the transformation imposed by the network on previously transmitted packets. The proposed technique is contextualized to real-time video streaming for immediate processing. The core of our framework is the notion of probes, that is, short bursts of packets transmitted over unused channels to acquire information while generating a controlled impact on other active links. Results indicate a high accuracy of the prediction output and a significant improvement in terms of received video quality when the prediction output is used to dynamically select the used channel for transmission.
