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公开(公告)号:US20200351201A1
公开(公告)日:2020-11-05
申请号:US16930712
申请日:2020-07-16
Applicant: Facebook, Inc.
Inventor: Ying Li , Martinus Arnold de Jongh , Vincent Gonguet , James Donovan , Laurent Corigliano
IPC: H04L12/801 , H04L12/26
Abstract: In one embodiment, the system identifies one or more geographic areas covered by a communication network. The system determines, for each identified geographic area, a congestion metric for the identified geographic area based at least on a difference between a first and second reference point on a network speed curve, wherein the network speed curve represents download speeds for a volume of traffic in the identified geographic area. The system identifies one or more network traffic congestions in one or more of the identified geographic areas based on a comparison of the respective congestion metrics of the identified geographic areas to a threshold congestion metric. The system sends, to one or more operators of the communication network, one or more alerts about the identified network traffic congestions.
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公开(公告)号:US20200028782A1
公开(公告)日:2020-01-23
申请号:US16155510
申请日:2018-10-09
Applicant: Facebook, Inc.
Inventor: Ying Li , Martinus Arnold de Jongh , Vincent Gonguet , James Donovan , Laurent Corigliano
IPC: H04L12/801 , H04L12/26
Abstract: In one embodiment, the system identifies geographic areas covered by a communication network. The system determines, for each identified geographic area, a network performance metric for the identified geographic area based on a difference between: (1) a first average network speed of the communication network in the identified geographic area during prior time periods in which the communication network is busy, and (2) a second average network speed of the communication network in the identified geographic area during second prior time periods in which the communication network is not busy. The system compares the respective performance metrics of the geographic areas to a threshold network performance metric, which is determined by a congestion-analysis machine learning (ML) model. The system identifies traffic congestions in one or more of the identified geographic areas having a determined network performance metric below the threshold network performance metric.
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公开(公告)号:US10764184B2
公开(公告)日:2020-09-01
申请号:US16155510
申请日:2018-10-09
Applicant: Facebook, Inc.
Inventor: Ying Li , Martinus Arnold de Jongh , Vincent Gonguet , James Donovan , Laurent Corigliano
IPC: H04L12/801 , H04L12/26
Abstract: In one embodiment, the system identifies geographic areas covered by a communication network. The system determines, for each identified geographic area, a network performance metric for the identified geographic area based on a difference between: (1) a first average network speed of the communication network in the identified geographic area during prior time periods in which the communication network is busy, and (2) a second average network speed of the communication network in the identified geographic area during second prior time periods in which the communication network is not busy. The system compares the respective performance metrics of the geographic areas to a threshold network performance metric, which is determined by a congestion-analysis machine learning (ML) model. The system identifies traffic congestions in one or more of the identified geographic areas having a determined network performance metric below the threshold network performance metric.
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