PREDICTING VIDEO ENGAGEMENT FROM WIRELESS NETWORK MEASUREMENTS
    11.
    发明申请
    PREDICTING VIDEO ENGAGEMENT FROM WIRELESS NETWORK MEASUREMENTS 审中-公开
    从无线网络测量预测视频参与

    公开(公告)号:US20150333986A1

    公开(公告)日:2015-11-19

    申请号:US14278818

    申请日:2014-05-15

    Abstract: A mechanism is provided for predicting video engagement from network measurements for a user device connected to a wireless network. Wireless network measurements are retrieved from a wireless network device in the wireless network. The wireless network measurements are related to the user device of a user. It is determined that the user device is engaged in a video streaming session. A computer classifies the video streaming session as one of a plurality of classes, in which the plurality of classes predict an outcome of the video streaming session for the user device.

    Abstract translation: 提供了一种用于从与无线网络连接的用户设备的网络测量中预测视频参与的机制。 从无线网络中的无线网络设备检索无线网络测量。 无线网络测量与用户的用户设备相关。 确定用户设备参与视频流传输会话。 计算机将视频流会话分类为多个类中的一个,其中多个类预测用户设备的视频流会话的结果。

    System for Estimating Download Speed From Passive Measurements
    12.
    发明申请
    System for Estimating Download Speed From Passive Measurements 有权
    用于估计被动测量下载速度的系统

    公开(公告)号:US20130272159A1

    公开(公告)日:2013-10-17

    申请号:US13915434

    申请日:2013-06-11

    CPC classification number: H04L43/0888 H04L43/026

    Abstract: A system for passive estimation of throughput in an electronic network is disclosed. The system may include an plurality of mobile devices configured to operate in the network and may further include an electronic data processor. The processor may be configured to access flow records for data flows associated with the mobile devices during a predetermined time interval. Additionally, the processor may be configured to annotate the flow records with an application field and a content provider field. The processor may also be configured to determine a flow type of each data flow based on the application field and the content provider field of the flow records. Furthermore, the processor may be configured to generate a throughput index that only includes non-rate-limited flow types. Moreover, the processor may be configured to estimate maximum throughput for each data flow having non-rate-limited flow types in the throughput index.

    Abstract translation: 公开了一种用于电子网络中的吞吐量被动估计的系统。 该系统可以包括被配置为在网络中操作并且还可以包括电子数据处理器的多个移动设备。 处理器可以被配置为在预定时间间隔内访问与移动设备相关联的数据流的流记录。 另外,处理器可以被配置为用应用程序字段和内容提供者字段来注释流记录。 处理器还可以被配置为基于流记录的应用字段和内容提供者字段来确定每个数据流的流类型。 此外,处理器可以被配置为生成仅包括非速率限制的流类型的吞吐量索引。 此外,处理器可以被配置为在吞吐量指数中估计具有非速率限制流类型的每个数据流的最大吞吐量。

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