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Network traffic characteristics of proxied wearable devices: A day with google glass

机译:代理的可穿戴设备的网络流量特征:使用谷歌眼镜的一天

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With the future explosive growth anticipated for wearable devices, this paper provides a first evaluation of the typical network traffic behavior to be expected from the interplay of the Google Glass augmented reality wearable and a connected smartphone in a baseline scenario. We include evaluation results ranging from a second to minutes time scale obtained from an exemplary measurement including both devices in a scenario that encompasses the default applications installed. We find that while overall traffic amounts are relatively small, they exhibit contrasting patterns on different time scales. Similarly, we find that on small time scales, little correlation between the traffic of the two devices exist, while higher correlation can be observed on larger time scales. The baseline results presented in this paper can thus be regarded as starting point to estimate future traffic schemes on a user's primary and secondary mobile devices and connecting wireless networks. The findings can be employed to optimize future mobile data delivery for the increasing multitude of similarly connected wearable devices associated with individual mobile users.
机译:鉴于可穿戴设备的未来爆炸性增长,本文对在基准情况下通过Google Glass增强现实可穿戴设备和已连接的智能手机之间的相互作用所预期的典型网络流量行为进行了首次评估。我们包括从示例性测量获得的从一秒到几分钟时间范围的评估结果,该测量包括在已安装的默认应用程序的情况下包括两个设备。我们发现,尽管总体流量相对较小,但它们在不同的时间尺度上呈现出对比的模式。同样,我们发现在较小的时间范围内,两个设备的流量之间几乎没有相关性,而在较大的时间范围内可以观察到较高的相关性。因此,本文提出的基准结果可以被视为估算用户的主要和次要移动设备以及连接无线网络上未来流量方案的起点。这些发现可用于为与单个移动用户相关联的越来越多的类似连接的可穿戴设备优化未来的移动数据传输。

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