MACHINE LEARNING BASED FIRMWARE VERSION RECOMMENDER

    公开(公告)号:US20250062958A1

    公开(公告)日:2025-02-20

    申请号:US18936507

    申请日:2024-11-04

    Abstract: Examples of the presently disclosed technology provide automated firmware recommendation systems that inject the intelligence of machine learning into the firmware recommendation process. To accomplish this, examples train a machine learning model on troves of historical customer firmware update data on a dynamic basis (e.g., examples may train the machine learning model on weekly basis to predict accepted firmware updates made by a vendor's customers across the most recent 6 months). From this dynamic training, the machine learning model can learn to predict/recommend an optimal firmware version for a customer/network device cluster based on firmware-related features, recent customer preferences, and other customer-specific factors. Once trained, examples can deploy the machine learning model to make highly tailored firmware recommendations for individual network device clusters of individual customers taking the above described factors into account.

    Determining when to adjust a power state of access points

    公开(公告)号:US11849391B2

    公开(公告)日:2023-12-19

    申请号:US17823317

    申请日:2022-08-30

    CPC classification number: H04W52/0206 H04W24/04 H04W84/12

    Abstract: Example implementations relate to determining when to adjust a power state of access points. A non-transitory computer readable medium may store instructions executable by a processing resource to: determine a subset of a group of access points (APs) that is to provide, to a client device, at least a performance threshold during a particular time interval, wherein an AP of the subset of the group of APs serves the client device; and determine when to adjust a power state of a remaining AP of the group of APs based on: a first degree of performance being provided by a first set of radios of the subset of the group of APs; and a second degree of performance to be provided by the remaining AP of the group of APs if the group of client devices is provided a network connectivity via a second radio of the remaining AP of the group of APs.

    ADJUSTING POWER STATES OF ACCESS POINTS
    4.
    发明申请

    公开(公告)号:US20200383048A1

    公开(公告)日:2020-12-03

    申请号:US16427775

    申请日:2019-05-31

    Abstract: Example implementations relate to adjusting power states of access points based on a power model. A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a client device being associated with an access point (AP) of a group of APs, determine: a first degree of performance being provided to the client device via a first radio of the AP of a group of APs; and a second degree of performance to be provided to the client device via a second radio of the group of APs, if the client device is provided a network connectivity via the second radio; determine, based on the first degree of performance and the second degree of performance, a subset of the group of APs whose power state is adjustable to a different power state; and adjust a power state of the subset of the group of APs.

    Wireless network device fingerprinting and identification using packet reception success probabilities

    公开(公告)号:US10708266B2

    公开(公告)日:2020-07-07

    申请号:US16108304

    申请日:2018-08-22

    Abstract: Systems and methods are disclosed for generating a client device fingerprint model and identifying client devices using the model. Identifying client devices includes monitoring traffic transmitted over a wireless network to an unknown first client device, the traffic using at least one value of at least one wireless network operational parameter; determining, for each at least one value of the at least one wireless network operational parameter, a respective probability of successful packet reception at the first client device; comparing each probability to a data model representing probabilities of successful packet reception at each of a plurality of known second client devices for each of a plurality of values of the wireless network operational parameter; and associating at least one of the labels of the second client devices with the first client device based on the compare.

    Wireless transmission rate adaptation

    公开(公告)号:US10686552B2

    公开(公告)日:2020-06-16

    申请号:US16001428

    申请日:2018-06-06

    Abstract: An example method for altering a transmission rate of a networking device. The example method comprises transmitting a first set of packets using first transmission characteristics represented by a first state of a finite state machine. The example method further comprises receiving information including a success status of transmission of the first set of packets. The example method also comprises updating, based on the received information, a weight of a first edge of the finite state machine, the first edge corresponding to a transition from a state representing prior transmission characteristics to the first state.

    PREDICTING POWER STATES OF ACCESS POINTS
    9.
    发明申请

    公开(公告)号:US20200383064A1

    公开(公告)日:2020-12-03

    申请号:US16427840

    申请日:2019-05-31

    Abstract: Example implementations relate to predicting power states of access points (APs). A non-transitory computer readable medium may store instructions executable by a processing resource to: in response to a first client device being associated with a first access point (AP) of a group of APs, determine a first degree of performance a second AP of the group is to provide if the first client device is associated with the second AP; and predict, based on the determined degree of performance, a second degree of performance the group of AP is to provide to a second client device if the second client device is associated with the group of APs during a first time interval at a location.

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