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首页> 外文期刊>IEEE transactions on industrial informatics >Real-Time Big Data Delivery in Wireless Networks: A Case Study on Video Delivery
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Real-Time Big Data Delivery in Wireless Networks: A Case Study on Video Delivery

机译：无线网络中的实时大数据传输：以视频传输为例

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摘要

The huge volume of contents generated from mobile ends has dramatically contributed to big data. Unfortunately, current packet scheduling policies in wireless networks for the underlying big data delivery greatly hinder the utilization of the contents. Specifically, the delivery of real-time big data requires running-time interactions with users, as well as variable bandwidth consumptions to maintain fine user experience. There is no previous work designed for this kind of traffic. To mitigate this gap, a thorough-designed scheduling policy to assign and organize detailed packet transmissions for real-time big data is desired. This paper takes video delivery as a case study, which dominates the current real-time traffic and can be easily extended to other scenarios. We propose a novel scheduling policy, which assigns a proper number of video requests to servers and allocates bandwidth to these requests in a relatively small time scale. It helps with serving more users without compromising user experience of the current ones. We also prove that the scheduling policy has a guaranteed performance on the total number of served requests. Finally, the simulation results demonstrate that our scheduling policy outperforms other state-of-art methods significantly.
机译：移动端产生的大量内容极大地促进了大数据的发展。不幸的是，无线网络中用于底层大数据传递的当前分组调度策略极大地阻碍了内容的利用。具体来说，实时大数据的交付需要与用户的运行时交互，以及可变的带宽消耗，以保持良好的用户体验。以前没有针对这种流量的设计。为了减轻这种差距，需要一种彻底设计的调度策略来分配和组织用于实时大数据的详细数据包传输。本文以视频交付为案例研究，该视频主导了当前的实时流量，并且可以轻松扩展到其他场景。我们提出了一种新颖的调度策略，该策略将适当数量的视频请求分配给服务器，并在相对较小的时间范围内为这些请求分配带宽。它有助于在不影响当前用户体验的前提下为更多用户提供服务。我们还证明了调度策略在所服务的请求总数上具有保证的性能。最后，仿真结果表明，我们的调度策略明显优于其他最新方法。

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