WI-FI ADOPTION INDEX
    1.
    发明申请

    公开(公告)号:US20180324625A1

    公开(公告)日:2018-11-08

    申请号:US16033021

    申请日:2018-07-11

    CPC classification number: H04W24/10 H04L43/0876 H04L43/18 H04W84/12

    Abstract: In some examples, a non-transitory computer-readable medium may contain instructions executable by a processing resource to collect Wi-Fi data points. The Wi-Fi data points may correspond to a plurality of users of an enterprise for a particular number of days. In some examples, the Wi-Fi data points may indicate a time period during each of the particular number of days when each of the plurality of users was connected to a Wi-Fi network. Instructions may further be executable to determine that a subset of the Wi-Fi data points represent outliers and remove the subset of Wi-Fi data points to create a data set. The data set may comprise non-outlier Wi-Fi data points. Instructions may further be executable to determine a Wi-Fi Adoption Index (WAI) for each of the plurality of users based on the data set.

    Managing bandwidth based on user behavior

    公开(公告)号:US11374869B2

    公开(公告)日:2022-06-28

    申请号:US16371346

    申请日:2019-04-01

    Abstract: A method for managing bandwidth may include identifying a first tier of applications and a second tier of applications, determining a number of user sessions associated with at least one application among the first tier of applications and the second tier of applications, each user session consuming a percentage of bandwidth of at least one communication channel in a network, and baselining a second tier application bandwidth use for each user session associated with the second tier of applications to determine a first interval and a second interval. The method may also include calculating a second tier application usage score associated with the second tier of applications, the calculating including determining a percentage of bandwidth used by the second tier of applications in the first interval and determining a percentage of bandwidth used by the second tier of applications in the second interval, generating a user score based on the second tier application usage score and a percentage of use of the first tier of applications, and adjusting a bandwidth allocation based on the user score.

    Determining that a client device presents in a site using frequent client mobility patterns

    公开(公告)号:US11082804B2

    公开(公告)日:2021-08-03

    申请号:US16412314

    申请日:2019-05-14

    Abstract: Example method includes: receiving, by a network device, a plurality of signal strength values associated with a particular timestamp corresponding to a particular client device from a plurality of access points in a wireless network at a site; determining a mobility pattern based on the plurality of signal strength values associated with the particular timestamp corresponding to the particular client device; comparing the mobility pattern associated with the particular timestamp corresponding to the particular client device with mobility patterns associated with other timestamps or corresponding to other client devices to identify a set of frequent mobility patterns; determining whether an unassociated client device exhibits a threshold number of frequent mobility patterns for a threshold amount of time; and determining that the unassociated client device presents in the site in response to the unassociated client device exhibiting the threshold number of the frequent mobility patterns for the threshold amount of time.

    Uplink selection in a SD-WAN
    8.
    发明授权

    公开(公告)号:US11212223B2

    公开(公告)日:2021-12-28

    申请号:US16735028

    申请日:2020-01-06

    Abstract: An example non-transitory, computer-readable medium includes instructions that cause a device to determine, for uplinks of a branch gateway, a link health baseline. The instructions further cause the device to determine, for a set of criticality classes, a class link health baseline for each link health baseline, based on the link health baseline and a tolerance level of each criticality class. The instructions further cause the device to calculate, based in part on weighted parameters of the class link health baselines and an uplink cost, a path quality threshold score for each application category and for each uplink. The instructions further cause the device to select, for each application category, a primary uplink and a secondary uplink based on the path quality threshold scores. The instructions further cause the device to route network traffic through the primary uplink of the application category assigned to the network traffic.

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