CONTENT DELIVERY USING DISTRIBUTED LEDGER AND AI-BASED TRANSCODING TECHNOLOGIES

    公开(公告)号:US20240187685A1

    公开(公告)日:2024-06-06

    申请号:US18442400

    申请日:2024-02-15

    CPC classification number: H04N21/440236

    Abstract: Examples of the present disclosure relate to content delivery using distributed ledger and AI-based transcoding technologies. In examples, content is received by a content distribution network (CDN) from a content source. The content may be in a lower-quality or different format than is distributed via the CDN. Accordingly, a transcoding model is identified and used to transcode the content. Multiple transcoding models may be used for different content parts to adapt to changing content types (e.g., a sports subpart, an advertising subpart, etc.). Transcoding may occur at edge nodes, such that the original content is transmitted within the CDN, thereby conserving resources. Additionally, transcoded content may be cached, such that the content need not be transcoded in response to every request.

    TRACKING OR STORING OF EQUIPMENT CONFIGURATION DATA USING IMMUTABLE LEDGER FUNCTIONALITY OF BLOCKCHAINS

    公开(公告)号:US20220360591A1

    公开(公告)日:2022-11-10

    申请号:US17813115

    申请日:2022-07-18

    Abstract: Novel tools and techniques are provided for implementing tracking or storing of equipment configuration data using immutable ledger functionality of blockchains. In various embodiments, in response to receiving a first request for first configuration data that is output by first equipment, a computing system might determine whether a communicatively coupled data repository contains the first configuration data. If so, the computing system might retrieve and send (to the requesting device) the first configuration data. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing the first configuration data. In response to such a blockchain being identified, the computing system might receive the identified blockchain; might abstract the block containing the first configuration data from the identified blockchain; might abstract the first configuration data from the block; and might send the first configuration data to the requesting device.

    Methods and systems for the reservation and registration of internet of things device licenses

    公开(公告)号:US11455377B2

    公开(公告)日:2022-09-27

    申请号:US16936911

    申请日:2020-07-23

    Abstract: Novel tools and techniques for an IoT shell are provided. A system includes an internet of things (IoT) device, a database, and a license manager. The database may include one or more sets of authorized licenses, each set of authorized licenses associated with a respective vendor software. The license manager may be in communication with the IoT device and the database, and further include a processor and a non-transitory computer readable medium comprising instructions executable by the processor. The license manager may be configured to receive a request to reserve a license for a first vendor software, determine an availability of the license associated with the first vendor software, register a unique identifier of the IoT device in association with the license, and grant the license to the IoT device.

    Method and system for implementing intelligent network services automation

    公开(公告)号:US11018951B2

    公开(公告)日:2021-05-25

    申请号:US16010166

    申请日:2018-06-15

    Abstract: Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might receive one or more network performance metrics of one or more networks, might receive network usage data associated with the one or more networks, and might analyze, using one or more machine learning techniques, the received one or more network performance metrics and the received network usage data to determine whether the one or more networks can be improved in terms of network efficiency or network operations. Based on a determination that the one or more networks can be improved, the computing system might dynamically reconfigure at least one of one or more network connections within the one or more networks or one or more network resources within the one or more networks.

    PREDICTIVE RESOURCE ALLOCATION IN AN EDGE COMPUTING NETWORK UTILIZING MACHINE LEARNING

    公开(公告)号:US20210136006A1

    公开(公告)日:2021-05-06

    申请号:US17090387

    申请日:2020-11-05

    Abstract: The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a method that includes aggregating historical request data for a plurality of requests, wherein the aggregated historical request data a time of the request, a location of a device from which the request originated, and/or a type of service being requested. The method also incudes training a machine learning model based on the aggregated historical request data; generating, from the trained machine learning model, a prediction for a type of service to be request; identifying an edge node, from a plurality of edge nodes, based on a physical location of the edge node; and based on predicted service, allocating computing resources for the computing service on the identified edge node.

    In-Line AI Virtual Assistant
    110.
    发明申请

    公开(公告)号:US20210037064A1

    公开(公告)日:2021-02-04

    申请号:US16543190

    申请日:2019-08-16

    Abstract: Novel tools and techniques for providing an in-line AI virtual assistant are provided. A system includes a session border controller coupled to an end-user device, and a session initiation protocol stack. The session initiation protocol stack includes a processor, and non-transitory computer readable media comprising instructions executable by the processor to: receive, from the session border controller, a call invite request; provision, via the AI virtual assistant service, an AI virtual assistant instance in response to the call invite request; and join the AI virtual assistant instance to a call with the end-user device.

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