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公开(公告)号：US20200037149A1
公开(公告)日：2020-01-30
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 , G06N99/00 , H04B17/391 , H04W60/04 , H04L12/24
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：US20190268215A1
公开(公告)日：2019-08-29
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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公开(公告)号：US20240147314A1
公开(公告)日：2024-05-02
申请号：US18410839
申请日：2024-01-11
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Gopal Gupta , Abhinesh Mishra , Isaac Theogaraj , Sachin Ganu , Bernd Bandemer , Jose Tellado
IPC: H04W36/00 , G06N20/00 , H04L41/16 , H04W12/041 , H04W88/08
CPC classification number: H04W36/0038 , G06N20/00 , H04L41/16 , H04W12/041 , H04W36/0061 , H04W88/08
Abstract: Systems and methods are provided for optimizing resource consumption by bringing intelligence to the key allocation process for fast roaming. Specifically, embodiments of the disclosed technology use machine learning to predict which AP a wireless client device will migrate to next. In some embodiments, machine learning may also be used to select a subset of top neighbors from a neighborhood list. Thus, instead of allocating keys for each of the APs on the neighborhood list, key allocation may be limited to the predicted next AP, and the subset of top neighbors. In some embodiments, a reinforcement learning model may be used to dynamically adjust the size of the subset in order to optimize resources while satisfying variable client demand.
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公开(公告)号：US20230109904A1
公开(公告)日：2023-04-13
申请号：US18052843
申请日：2022-11-04
Applicant: Hewlett Packard Enterprise Development LP
Inventor： Abtin Ansari , Bernd Bandemer , Jose Tellado
Abstract: Systems and methods are provided for receiving a set of feature vectors. Each feature vector in the set may comprise feature values for a plurality of features associated with network communications. A first score for a first subset of the feature vectors that have at least one common feature value for a first feature of the plurality of features may be determined. A second score for a second subset of the feature vectors may be determined. The second subset may comprise the first subset and other feature vectors that have a different feature value for the first feature. Based on a change between the first score and the second score, whether to group the common feature value and the different feature value together may be determined.
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Patent Agency Ranking
公开(公告)号：US20220417846A1
公开(公告)日：2022-12-29
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
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：US11496386B2
公开(公告)日：2022-11-08
申请号：US17508879
申请日：2021-10-22
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Abtin Ansari , Bernd Bandemer , Jose Tellado
Abstract: Systems and methods are provided for receiving a set of feature vectors. Each feature vector in the set may comprise feature values for a plurality of features associated with network communications. A first score for a first subset of the feature vectors that have at least one common feature value for a first feature of the plurality of features may be determined. A second score for a second subset of the feature vectors may be determined. The second subset may comprise the first subset and other feature vectors that have a different feature value for the first feature. Based on a change between the first score and the second score, whether to group the common feature value and the different feature value together may be determined.
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公开(公告)号：US20200383049A1
公开(公告)日：2020-12-03
申请号：US16427808
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 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：US10791510B2
公开(公告)日：2020-09-29
申请号：US15720008
申请日：2017-09-29
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Yusuke Sakamoto
IPC: H04W48/20 , H04L12/857 , H04W24/02 , H04W88/12 , H04W88/10
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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公开(公告)号：US20190268721A1
公开(公告)日：2019-08-29
申请号：US15904492
申请日：2018-02-26
Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
Inventor： Jose Tellado , Bernd Bandemer , Alexander Mendez
Abstract: In some examples, a system provides a machine learning model trained based on historical data including network-observed parameters for devices associated with a network. The system inputs values of the network-observed parameters for a first device into the machine learning model, the input values being from a plurality of devices in the network. The machine learning model produces information relating to a location or mobility of the first device.
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