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公开(公告)号：US20250062958A1
公开(公告)日：2025-02-20
申请号：US18936507
申请日：2024-11-04
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Sargam Jain , Charles Hogg , David Fehling, JR. , Bernd Bandemer , Jose Tellado
IPC: H04L41/082 , G06F8/65 , G06F11/00 , G06F11/34 , G06N20/10 , H04L41/0631 , H04L41/16
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.
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公开(公告)号：US11849391B2
公开(公告)日：2023-12-19
申请号：US17823317
申请日：2022-08-30
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jose Tellado , Bernd Bandemer , Alexander Mendez , Hilmi Gunes Kayacik , Charlie Hogg
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.
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公开(公告)号：US10999730B2
公开(公告)日：2021-05-04
申请号：US16046296
申请日：2018-07-26
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Sachin Ganu , Bernd Bandemer , Jose Tellado , Gaurav Patwardhan
IPC: H04W8/14 , H04L12/24 , H04W60/04 , H04B17/391 , G06N20/00
Abstract: An example network information aggregator is disclosed. The network information aggregator includes a network interface, a memory, and processing circuitry. The processing circuitry is to receive a machine learning model trained using initialization data from a model creation device. The processing circuitry is also to generate a device steering rule to steer a client device from a first radio to a second radio using the machine learning model. The processing circuitry is also to send a steer command to the first radio.
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公开(公告)号：US20200383048A1
公开(公告)日：2020-12-03
申请号：US16427775
申请日：2019-05-31
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jose Tellado , Bernd Bandemer , Alexander Mendez , Hilmi Gunes Kayacik , Charlie Hogg
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.
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公开(公告)号：US10742482B2
公开(公告)日：2020-08-11
申请号：US15904489
申请日：2018-02-26
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Susmita Ghose , Gunes Kayacik
Abstract: In some examples, a system generates event records representing anomalous events associated with respective devices in a network, each respective anomalous event of the anomalous events being identified as anomalous for a respective context of a device of the devices. The system clusters the event records to produce a plurality of clusters of the event records. The system outputs the plurality of clusters for application of a remediation of an issue in the network.
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Patent Agency Ranking
公开(公告)号：US12166629B2
公开(公告)日：2024-12-10
申请号：US17949106
申请日：2022-09-20
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Sargam Jain , Charles Hogg , David Fehling, Jr. , Bernd Bandemer , Jose Tellado
IPC: G06F8/65 , H04L41/082 , H04L41/16 , G06F11/00 , G06F11/34 , G06N20/10 , H04L41/0631
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.
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公开(公告)号：US20220078632A1
公开(公告)日：2022-03-10
申请号：US17530828
申请日：2021-11-19
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Sachin N. Ganu , Sai Pradeep Venkatraman
Abstract: A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.
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公开(公告)号：US11234197B2
公开(公告)日：2022-01-25
申请号：US16427840
申请日：2019-05-31
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Jose Tellado , Bernd Bandemer , Alexander Mendez , Hilmi Gunes Kayacik , Charlie Hogg
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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公开(公告)号：US11206550B2
公开(公告)日：2021-12-21
申请号：US16219334
申请日：2018-12-13
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Sachin N. Ganu , Sai Pradeep Venkatraman
Abstract: A method for identifying a client device in a network, and a first radio in the network that is coupled with the client device is provided. The method includes determining one or more sequences of roaming events for multiple client devices in the network, evaluating a performance metric for a roaming event and evaluating an interaction between the client device and one or more radios involved in the roaming events for the plurality of client devices. The method also includes selecting a second radio in the network based at least in part on (1) the one or more sequences of roaming events, (2) the performance metric, and (3) the interaction between the client device and the one or more radios, and recommending switching the client device from the first radio to the second radio. A system and a predictive tool to perform the above method are also provided.
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公开(公告)号：US20210007046A1
公开(公告)日：2021-01-07
申请号：US17024976
申请日：2020-09-18
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Yusuke Sakamoto
IPC: H04W48/20 , H04L12/857 , H04W24/02
Abstract: Some of examples disclosed herein relate to classifying access points (APs). Some of the example may enable automatically classifying a set of APs based on at least one AP attribute of each AP in the set of APs, determining, based on the automatic classification, that a subset of APs in the set of APs are classified into a same class; and automatically determining a recommended configuration setting for the subset of APs.
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