ESTIMATION OF NETWORK LATENCY BASED ON AGGREGATED PERFORMANCE DATA

    公开(公告)号:US20250132997A1

    公开(公告)日:2025-04-24

    申请号:US19007364

    申请日:2024-12-31

    Abstract: Estimation of network latency based on aggregated performance data is disclosed. End-to-end latency between endpoints can comprise protocol-induced latency, access network-induced, core-network latency, and network-distance-based latency. Network latency, e.g., network-distance-based latency, also referred to as topological latency, can correspond to communication path length between endpoints. Crowdsourcing of communication path performance information can enable estimation of topological latency, and derivatives thereof, such as topological distance. Crowdsourcing can be the practice of obtaining information or input into a task or project by enlisting the services of a large number of people, either paid or unpaid, e.g., collection of performance information. The disclosure illustrates estimation of protocol-induced latency, access network-induced, and core-network latency, such that they can be compensated for in end-to-end latency information, thereby enabling estimation of topological latency that can be employed in determining, initiating, etc., a network response operation that can affect change in a network.

    LOCAL MANAGEMENT OF QUALITY OF EXPERIENCE IN A HOME NETWORK

    公开(公告)号:US20230412479A1

    公开(公告)日:2023-12-21

    申请号:US17807668

    申请日:2022-06-17

    CPC classification number: H04L43/08

    Abstract: In one example, the present disclosure describes a device, computer-readable medium, and method for locally managing quality of experience in a home network. For instance, in one example, a method performed by a residential gateway connected to a home network includes capturing network data relating to a plurality of software applications executing on a plurality of user endpoint devices connected to the home network, converting the network data into at least one network condition metric, receiving a query from a first software application of the plurality of software applications for at least one current condition of the home network, and delivering the at least one network condition metric to the first software application.

    METHODS TO ESTIMATE VIDEO PLAYBACK BUFFER

    公开(公告)号:US20210368216A1

    公开(公告)日:2021-11-25

    申请号:US17392302

    申请日:2021-08-03

    Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

    Method and apparatus for delivery of media content

    公开(公告)号:US11122311B2

    公开(公告)日:2021-09-14

    申请号:US16535949

    申请日:2019-08-08

    Abstract: Aspects of the subject disclosure may include, for example, a method, including identifying recommended video clips for a user of a communication device according to a video viewing profile for the user and video subject matter information associated with a plurality of video clips, identifying an edge cloud server for facilitating network access by the communication device at a location, determining a reduced activity period for a data path between a video content server and the edge cloud server by comparing activity information for the data path and an activity threshold, directing the video content server to store the recommended video clips at the edge cloud server during the reduced activity period, and providing a listing of the recommended video clips to an application, where the communication device receives a video clip of the recommended video clips from the edge cloud server responsive to a selection of the video clip via the application. Other embodiments are disclosed.

    Estimating network data encoding rate

    公开(公告)号:US10972526B2

    公开(公告)日:2021-04-06

    申请号:US16538708

    申请日:2019-08-12

    Abstract: In one example, the encoding rate at which data is delivered over a network is estimated by intercepting a data packet from a data streaming session, wherein the data packet contains at least a portion of one of a plurality of file segments containing portions of a file, and wherein a number of the plurality of file segments that is delivered via the data streaming session is limited to a maximum number. The mean size of the plurality of file segments is estimated from data contained in the data packet. A plurality of potential sizes of the plurality of file segments is calculated, wherein each potential size corresponds to one number between one and the maximum number. An encoding rate of the data streaming session is calculated, based at least in part on which potential size of the plurality of potential sizes is closest to the mean size.

    METHODS TO ESTIMATE VIDEO PLAYBACK BUFFER
    8.
    发明申请

    公开(公告)号:US20190297356A1

    公开(公告)日:2019-09-26

    申请号:US15934077

    申请日:2018-03-23

    Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a requested quality for a video chunk requested by the user equipment, a transmission control protocol congestion window size that corresponds to the video chunk requested by the user equipment, and an instantaneous radio access network throughput while downloading the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the requested quality for the video chunk, the transmission control protocol congestion window size, and the instantaneous radio access network throughput. Other embodiments are disclosed.

    Methods to estimate video playback buffer

    公开(公告)号:US11533524B2

    公开(公告)日:2022-12-20

    申请号:US17392302

    申请日:2021-08-03

    Abstract: Aspects of the subject disclosure may include, for example, a method including monitoring a video session to determine key performance indicators for cross-layer interactions between a network providing video session video data and user equipment receiving the video session video data, wherein the key performance indicators include a transmission control protocol congestion window size that corresponds to a video chunk requested by the user equipment, and a radio access network throughput of a download of the video chunk requested by the user equipment, and determining a quality of service for the user equipment during the video session according to a residual length of content in a playback buffer for the user equipment based on the transmission control protocol congestion window size, and the radio access network throughput. Other embodiments are disclosed.

    Method to identify video applications from encrypted over-the-top (OTT) data

    公开(公告)号:US11429891B2

    公开(公告)日:2022-08-30

    申请号:US15914057

    申请日:2018-03-07

    Abstract: Aspects of the subject disclosure may include, for example, a processing system that performs operations including collecting encrypted network traffic flow data from user interaction with an application, deriving a first set of traffic feature vectors from the encrypted network traffic flow data collected, training a machine learning algorithm on the first set of traffic feature vectors to classify each traffic feature vector in the first set of traffic feature vectors as associated with a type of the application or not associated with the type of the application, and classifying whether an encrypted network traffic flow as the type of the application by applying the machine learning algorithm to a traffic feature vector of the encrypted network traffic flow. Other embodiments are disclosed.

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