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ePF-DASH: Energy-efficient prefetching based dynamic adaptive streaming over HTTP

机译:ePF-DASH:基于节能预取的HTTP动态自适应流

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CISCO VNI predicted an average annual growth rate of 69.1% for mobile video traffic between 2013 and 2018 and accordingly much academic research related to video streaming has been initiated. In video streaming, Adaptive Bitrate (ABR) is a streaming technique in which a source video is stored on a server at variable encoding rates and each streaming user requests the most appropriate video encoding rate from the server considering their channel capacity or signal power. However, these days, ABR related studies are only focusing on real-time rate adaptation and omitting efficiency in terms of energy. These methods do not consider the energy limited characteristics of mobile devices, which cause dissatisfaction to the streaming users. In this paper, we propose an energy efficient prefetching based dynamic adaptive streaming technique by considering the limited characteristics of the batteries used in mobile devices, in order to reduce the energy waste and provide a similar level of service in terms of the average video rate compared to the latest ABR streaming technique which does not consider the energy consumption.
机译:思科VNI预测2013年至2018年间移动视频流量的年均增长率为69.1%,因此已启动与视频流相关的学术研究。在视频流中,自适应比特率(ABR)是一种流技术,其中源视频存储在可变编码率的服务器上,并且每个流用户考虑其信道容量或信号功率请求来自服务器的最合适的视频编码率。然而,这几天,ABR相关的研究只是专注于实时速率适应和在能量方面省略效率。这些方法不考虑移动设备的能量有限特征,这导致流用户的不满意。在本文中,我们通过考虑移动设备中使用的电池的有限特性提出了基于节能预取的动态自适应流技术,以减少能量浪费并在比较的平均视频速率方面提供类似的服务水平到最新的ABR流技术,不考虑能量消耗。

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