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A Multimedia Signal Processing Cloud Concept for Low Delay Audio and Video Streaming via the Public Internet

机译:一种多媒体信号处理云概念,用于低延迟音频和视频流通过公共互联网流

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A rehearsal environment for conducted orchestras via the public Internet requires a specialized server infrastructure, in order to provide minimal latencies between the musicians involved. In this document, we present a cloud computing concept for digital signal processing of audio and video data in realtime. Since 60 musicians and one conductor shall connect to the cloud, it is most important to distribute the signal processing and machine learning algorithms over multiple processing servers. The server infrastructure under investigation is built on top of an AVB network segment to be scalable and to maintain low latencies and jitter under heavy load. Latency and jitter are the most important properties of the realtime streams that are connected to the cloud, and are analyzed and discussed. The results have proven the proper design of the concept, but revealed the need for further optimization.
机译:通过公共互联网进行管理管弦乐队的排练环境需要专门的服务器基础架构,以便在所涉及的音乐家之间提供最小的延迟。在本文档中,我们在实时呈现用于音频和视频数据的数字信号处理的云计算概念。由于60名音乐家和一个导体应连接到云端,因此在多个处理服务器上分配信号处理和机器学习算法是最重要的。正在调查的服务器基础架构建立在AVB网络段的顶部,以可扩展,并在重负载下保持低延迟和抖动。延迟和抖动是连接到云的实时流最重要的属性,并分析和讨论。结果证明了概念的适当设计,但揭示了进一步优化的必要性。

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