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Synchronizing Parallel Data Streams via Cross-Stream Coding

机译:通过交叉流编码同步并行数据流

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摘要

Streaming very-high-definition visualization data objects on top of optical networks is critical in many scientific research areas, including video streaming/conferencing, remote rendering on tiled display walls, 3D virtual reality applications, etc. Current data streaming protocols rely on UDP as well as a variety of compression techniques. However, none of the protocols scale well to the parallel streaming model of large scale graphic applications, and the existing parallel streaming protocols have limited synchronization mechanisms to synchronize the streams efficiently, and are prone to be slowed down by just one slow stream. In this paper, we propose a new parallel streaming protocol that can stream synchronized multiple Gbps media content over optical networks through reliable Cross-Stream packet coding, which not only tolerates random UDP packet loss, but also aims to achieve good synchronization performance across multiple parallel data streams with reasonable coding overhead. We simulated the approach, and the results show that our approach can generate steady throughput with fluctuating data streams.
机译:在光网络顶部的流媒体非常高清可视化数据对象在许多科学研究区域中至关重要,包括视频流/会议,瓷砖显示墙上的远程渲染,3D虚拟现实应用等。当前数据流协议依赖于UDP作为以及各种压缩技术。然而,任何协议都没有很好地缩放到大规模图形应用的并行流媒体模型,并且现有的并行流传输协议具有有限的同步机制来有效地同步流,并且仅仅通过一个慢速流减速。在本文中,我们提出了一种新的并行流式传输协议,可以通过可靠的跨流分组编码来通过可靠的交叉流分组编码流通过光网络流传输。这不仅容忍随机UDP丢包,而且还旨在实现跨多个并行的良好的同步性能具有合理编码开销的数据流。我们模拟了这种方法,结果表明,我们的方法可以通过波动数据流产生稳定的吞吐量。

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