-
公开(公告)号:US20200183481A1
公开(公告)日:2020-06-11
申请号:US16790212
申请日:2020-02-13
Applicant: Verizon Patent and Licensing Inc.
Inventor: Dayong He , Jyotsna Kachroo , Manuel Enrique Caceres , Azam Jiva , Ray P. Hwang , Bruno Mendez
IPC: G06F1/3234 , G06F1/3206 , G06F1/3212 , G06F1/3215 , G06N20/00 , H04W52/02
Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to determine a device status associated with the wireless communication device and determine that a machine learning process is to be performed based on the determined device status. The processor may be further configured to execute the instructions to select a machine learning model based on the determined device status; select one or more data inputs based on the determined device status; and perform the machine learning process using the selected machine learning model and the selected one or more data inputs.
-
公开(公告)号:US11513583B2
公开(公告)日:2022-11-29
申请号:US16790212
申请日:2020-02-13
Applicant: Verizon Patent and Licensing Inc.
Inventor: Dayong He , Jyotsna Kachroo , Manuel Enrique Caceres , Azam Jiva , Ray P. Hwang , Bruno Mendez
IPC: G06F9/44 , G06F1/3234 , H04W52/02 , G06N20/00 , G06F1/3212 , G06F1/3206 , G06F9/50 , G06F9/48 , G06F11/34
Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to determine a device status associated with the wireless communication device and determine that a machine learning process is to be performed based on the determined device status. The processor may be further configured to execute the instructions to select a machine learning model based on the determined device status; select one or more data inputs based on the determined device status; and perform the machine learning process using the selected machine learning model and the selected one or more data inputs.
-
公开(公告)号:US20210204170A1
公开(公告)日:2021-07-01
申请号:US17200232
申请日:2021-03-12
Applicant: Verizon Patent and Licensing Inc.
Inventor: Dayong He , Hany Samir Atiya , Byunghun Choi , Ray P. Hwang , Jyotsna Kachroo , Kalyani Bogineni , Sudhakar Reddy Patil
Abstract: Systems and methods described herein provide an intelligent MEC resource scheduling service. A network device in a MEC network stores, in a memory, threshold values indicating overload conditions for resource usage by a first MEC cluster; monitors resource usage in the first MEC cluster; determines, based on the monitoring, when one of the threshold values is reached; identifies available resources in a second MEC cluster; and re-directs, based on the identifying, at least some of the resource usage from the first MEC cluster to the second MEC cluster.
-
公开(公告)号:US20190372836A1
公开(公告)日:2019-12-05
申请号:US15994806
申请日:2018-05-31
Applicant: Verizon Patent and Licensing Inc.
Inventor: Dayong He , Ray P. Hwang , Jyotsna Kachroo , Hany Samir Atiya
Abstract: A management device may identify a client device, of a plurality of client devices, in a local network, and may configure one or more remote connection parameters for a connection between the client device and a remote device, configure one or more local connection parameters for a connection between the client device and another client device, of the plurality of client devices, in the local network, configure one or more monitoring parameters for monitoring the client device, and configure one or more alarm parameters for the client device. The management device may manage the client device based on the one or more remote connection parameters, the one or more local connection parameters, the one or more monitoring parameters, and the one or more alarm parameters.
-
公开(公告)号:US20190086988A1
公开(公告)日:2019-03-21
申请号:US15707256
申请日:2017-09-18
Applicant: Verizon Patent and Licensing Inc.
Inventor: Dayong He , Jyotsna Kachroo , Manuel Enrique Caceres , Azam Jiva , Ray P. Hwang , Bruno Mendez
Abstract: A computer device may include a memory configured to store instructions and a processor configured to execute the instructions to determine a device status associated with the wireless communication device and determine that a machine learning process is to be performed based on the determined device status. The processor may be further configured to execute the instructions to select a machine learning model based on the determined device status; select one or more data inputs based on the determined device status; and perform the machine learning process using the selected machine learning model and the selected one or more data inputs.
-
-
-
-