Virtualized Intelligent and Integrated Network Monitoring as a Service

    公开(公告)号:US20190199605A1

    公开(公告)日:2019-06-27

    申请号:US15852342

    申请日:2017-12-22

    Abstract: Concepts and technologies for providing virtualized network monitoring as a service are provided. In an embodiment, a method can include providing, by a processor of a computer system within a service host network, a network monitoring portal to a user equipment associated with a private network. The method also can include receiving, from the user equipment via the network monitoring portal, access credentials that enable access to the private network. The method can include receiving a selection of a plurality of network monitoring service modules for monitoring the private network, and instantiating a plurality of virtual network monitoring probes that each correspond to at least one of the plurality of network monitoring service modules selected. The method can include injecting the plurality of virtual network monitoring probes within the private network, where the virtual network monitoring probes are activated in response to being injected within the private network.

    NETWORK TRAFFIC FORECASTING FOR NON-TICKETED EVENTS

    公开(公告)号:US20190116505A1

    公开(公告)日:2019-04-18

    申请号:US15783789

    申请日:2017-10-13

    Abstract: An example method includes estimating a number of people expected to attend a non-ticketed event, based on electronic data including social media postings, estimating a per-person amount of network traffic expected to be generated on a communications network during the non-ticketed event, based at least in part on historical per-person network traffic statistics for a historical event of a similar type to the non-ticketed event, calculating an amount of total network traffic expected to be generated during the non-ticketed event, based at least on the number of people expected to attend the non-ticketed event and the per-person amount of network traffic, and implementing a modification to an infrastructure of the communications network in a geographic location of the non-ticketed event, based at least in part on the amount of total network traffic expected to be generated during the non-ticketed event.

    SYSTEM AND METHOD FOR LOW LATENCY EDGE COMPUTING

    公开(公告)号:US20230085361A1

    公开(公告)日:2023-03-16

    申请号:US17991340

    申请日:2022-11-21

    Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system receives data at an edge node of a network that also includes regional nodes and central nodes. The processing system also determines a latency criterion associated with an application for processing the data; the application corresponds to an application programming interface. The method also includes processing the data in accordance with the application, monitoring a latency associated with the processing, and determining whether the latency meets the latency criterion. The processing system dynamically assigns data processing resources so that the latency meets the latency criterion; the resources include computation, network and storage resources of the edge node, a central node, and a regional node in communication with the edge node and the central node. Other embodiments are disclosed.

    Creating and Using Cell Clusters
    14.
    发明申请

    公开(公告)号:US20210314789A1

    公开(公告)日:2021-10-07

    申请号:US17106335

    申请日:2020-11-30

    Abstract: Concepts and technologies are disclosed for creating and using cell clusters. Cellular network data associated with a cellular network can be obtained. The cellular network data can include configuration data associated with a cell of the cellular network and a performance indicator associated with the cellular network. A number of cell clusters to be generated can be determined and the cell clusters can be generated. The cell clusters can include a cell cluster that can represent multiple cells including the cell. A model that represents the cell cluster can be trained. An input cluster that represents multiple inputs can be generated. The inputs can be associated with the multiple cells and the input cluster can include a value. The value can be provided as input to the model to obtain a predicted output associated with the cell cluster.

    Video compression with generative models

    公开(公告)号:US10798386B2

    公开(公告)日:2020-10-06

    申请号:US16258351

    申请日:2019-01-25

    Inventor: Abhijeet Bhorkar

    Abstract: A processing system having at least one processor may obtain a sequence of frames of a video, and detect a correlation between visual properties of a first frame of the sequence of frames and a second frame of the sequence of frames, where the second frame comprises a next frame following the first frame in the sequence of frames. The processing system may then generate a first difference vector comprising a difference between a latent space representation of the second frame and a latent space representation of the first frame in response to detecting the correlation between the visual properties, where the latent space representation of the first frame and the latent space representation of the second frame are generated via an autoencoder, and store the first difference vector in a first encoding block.

    VIDEO COMPRESSION WITH GENERATIVE MODELS
    16.
    发明申请

    公开(公告)号:US20200244969A1

    公开(公告)日:2020-07-30

    申请号:US16258351

    申请日:2019-01-25

    Inventor: Abhijeet Bhorkar

    Abstract: A processing system having at least one processor may obtain a sequence of frames of a video, and detect a correlation between visual properties of a first frame of the sequence of frames and a second frame of the sequence of frames, where the second frame comprises a next frame following the first frame in the sequence of frames. The processing system may then generate a first difference vector comprising a difference between a latent space representation of the second frame and a latent space representation of the first frame in response to detecting the correlation between the visual properties, where the latent space representation of the first frame and the latent space representation of the second frame are generated via an autoencoder, and store the first difference vector in a first encoding block.

    Geolocation of wireless network users

    公开(公告)号:US12004114B2

    公开(公告)日:2024-06-04

    申请号:US17346179

    申请日:2021-06-11

    Abstract: A method includes selecting a first machine learning model from a plurality of machine learning models that are trained for use in performing geolocation, wherein the first machine learning model is selected to perform geolocation within a first cell of a plurality of cells of a wireless network, acquiring event data from a plurality of wireless devices within the first cell, grouping the event data into a plurality of records, wherein each record of the plurality of records contains event data that indicates a common wireless device of the plurality of wireless devices, a common cell of the plurality of cells, and a common timestamp, and generating a predicted location of a first wireless device of the plurality of wireless devices, using the first machine learning model, wherein the first machine learning model outputs the predicted location in response to an input of a record of the plurality of records.

    Creating and using cell clusters
    18.
    发明授权

    公开(公告)号:US10893424B1

    公开(公告)日:2021-01-12

    申请号:US16841816

    申请日:2020-04-07

    Abstract: Concepts and technologies are disclosed for creating and using cell clusters. Cellular network data associated with a cellular network can be obtained. The cellular network data can include configuration data associated with a cell of the cellular network and a performance indicator associated with the cellular network. A number of cell clusters to be generated can be determined, and the cell clusters can be generated. The cell clusters can include a cell cluster that can represent multiple cells including the cell. A model that represents the cell cluster can be trained. An input cluster that represents multiple inputs can be generated. The inputs can be associated with the multiple cells and the input cluster can include a value. The value can be provided as input to the model to obtain a predicted output associated with the cell cluster.

    SYSTEM AND METHOD FOR LOW LATENCY EDGE COMPUTING

    公开(公告)号:US20200371893A1

    公开(公告)日:2020-11-26

    申请号:US16416730

    申请日:2019-05-20

    Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system receives data at an edge node of a network that also includes regional nodes and central nodes. The processing system also determines a latency criterion associated with an application for processing the data; the application corresponds to an application programming interface. The method also includes processing the data in accordance with the application, monitoring a latency associated with the processing, and determining whether the latency meets the latency criterion. The processing system dynamically assigns data processing resources so that the latency meets the latency criterion; the resources include computation, network and storage resources of the edge node, a central node, and a regional node in communication with the edge node and the central node. Other embodiments are disclosed.

    Network traffic forecasting for non-ticketed events

    公开(公告)号:US10477416B2

    公开(公告)日:2019-11-12

    申请号:US15783789

    申请日:2017-10-13

    Abstract: An example method includes estimating a number of people expected to attend a non-ticketed event, based on electronic data including social media postings, estimating a per-person amount of network traffic expected to be generated on a communications network during the non-ticketed event, based at least in part on historical per-person network traffic statistics for a historical event of a similar type to the non-ticketed event, calculating an amount of total network traffic expected to be generated during the non-ticketed event, based at least on the number of people expected to attend the non-ticketed event and the per-person amount of network traffic, and implementing a modification to an infrastructure of the communications network in a geographic location of the non-ticketed event, based at least in part on the amount of total network traffic expected to be generated during the non-ticketed event.

Patent Agency Ranking