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Demonstrating the stalling events with instantaneous total power consumption in smartphone-based live video streaming

机译:演示基于智能手机的实时视频流中的停顿事件和瞬时总功耗

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The smartphone usage nearly tripled in 2011 according to Cisco Virtual Networking Index. There is a high demand of energy for using popular mobile applications, which run on smartphones with limited battery life. Video streaming applications are widely used on mobile devices, and their high power consumption exhibits high variance during a live streaming session, due to varying conditions on network and application levels. Recent studies focus on the averaged power consumption statistics, while there is lack of observation on the fluctuations of the instantaneous total power consumption of the smartphones. Network based applications consume power at all layers of the communication stack, and any fluctuation in the total power consumption during a video streaming can reveal a possible misbehaviour such as a stalling event. Until now, these events are investigated in Quality of Experience (QoE) studies through installation of high-energy demanding and hard-to-deploy network measurement tools on users' mobile devices. In this paper, we demonstrate an experiment, where a user experiences a stalling event on the smartphone and observes the live instantaneous power consumption values through Mobile Power Monitoring Tool (MPMT) and Software Visualisation Tool (SVT), simultaneously. We confer that the instantaneous total power consumption likely reveals the misbehaviours such as stalls during a video playout in live video streaming on smartphones that can facilitate energy efficient QoE studies.
机译:根据思科虚拟网络指数,2011年智能手机的使用量几乎增长了两倍。使用流行的移动应用程序对能量有很高的要求,这些应用程序在电池寿命有限的智能手机上运行。视频流应用程序广泛用于移动设备,由于网络和应用程序级别的变化,其高功耗在实时流会话期间表现出很大的差异。最近的研究集中在平均功耗统计上,而对智能手机的瞬时总功耗波动没有观察到。基于网络的应用程序在通信堆栈的所有层上都消耗功率,并且在视频流传输期间总功率消耗的任何波动都可能显示出可能的不良行为,例如停顿事件。到目前为止,通过在用户的移动设备上安装高能耗且难以部署的网络测量工具,在体验质量(QoE)研究中对这些事件进行了调查。在本文中,我们演示了一个实验,在该实验中,用户在智能手机上遇到停转事件,并同时通过移动电源监视工具(MPMT)和软件可视化工具(SVT)观察实时瞬时功耗值。我们认为,瞬时总功耗可能会揭示诸如智能手机实时视频流中视频播放期间停顿之类的不良行为,从而有助于进行节能QoE研究。

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