METADATA-ASSISTED INVENTORY MANAGEMENT

    公开(公告)号:US20220092438A1

    公开(公告)日:2022-03-24

    申请号:US17475475

    申请日:2021-09-15

    Abstract: Examples of the present disclosure relate to metadata-assisted inventory management. Image data relating to a device is captured and further enriched with metadata, such as customer information, current event data, and/or log data associated with the device. The enriched image data may be processed by a decision engine to generate determinations based on the image data in combination with the metadata. For example, an equipment classification decision engine generates an equipment classification for telecommunications equipment therein. As another example, a cost modeling decision engine processes the enriched image data to evaluate a cost associated with the telecommunications equipment or a service evaluation decision engine may process the enriched image data to determine whether telecommunications equipment and/or an associated service are performing as expected. A decision engine may update the enriched image data according to its processing, thereby further enriching the image data for processing by another decision engine.

    CONTENT DELIVERY USING DISTRIBUTED LEDGER AND AI-BASED TRANSCODING TECHNOLOGIES

    公开(公告)号:US20220092079A1

    公开(公告)日:2022-03-24

    申请号:US17481366

    申请日:2021-09-22

    Abstract: Examples of the present disclosure relate to content delivery using distributed ledger and AI-based transcoding technologies. In examples, a content distribution network (CDN) receives content from a content source for distribution to client devices. A content record is generated for the content, which comprises a content hash for the content. The content record may be stored in a distributed ledger. A smart contract associated with the content may be generated, where the smart contract facilitates CDN analytics or accounting for CDN service payments, licensing fees, or royalty payments, among other examples. The smart contract may be associated with the content hash and may be executed based on any of a variety of triggers, such as content playback and/or distribution via the CDN.

    PREDICTIVE RESOURCE ALLOCATION IN AN EDGE COMPUTING NETWORK UTILIZING GEOLOCATION FOR ORCHESTRATION

    公开(公告)号:US20210136178A1

    公开(公告)日:2021-05-06

    申请号:US17090369

    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 receiving, from a mobile computing device, first location data for the mobile computing device at a first time; receiving, from the mobile computing device, second location data for the mobile computing device at a second time; and based on the first location data and the second location data, determining a direction vector for the mobile computing device. The method also includes, based on the direction vector: identifying an edge node from a plurality of edge nodes corresponding to a predicted location of the mobile computing device; and prior to the mobile computing device being in the predicted location, allocating computing resources for the computing service on the identified edge node.

    PREDICTIVE RESOURCE ALLOCATION IN AN EDGE COMPUTING NETWORK UTILIZING BEACONS

    公开(公告)号:US20210135969A1

    公开(公告)日:2021-05-06

    申请号:US17090421

    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 system that includes a plurality of edge nodes and a beacon. The system performs operations that may include collecting traffic data from the beacon over a period of time, wherein the traffic data includes at least an amount of devices sending probe requests to the beacon; comparing the amount of devices to a predetermined threshold for traffic data; and based on the comparison of the amount of devices to the predetermined threshold for traffic data, generating a recommendation for installation of a new edge node in addition to the plurality of edge nodes.

    PREDICTIVE RESOURCE ALLOCATION FOR NETWORK GROWTH IN AN EDGE COMPUTING NETWORK

    公开(公告)号:US20210132994A1

    公开(公告)日:2021-05-06

    申请号:US17090408

    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 for services to be performed by one or more edge nodes; training a machine learning model based on the aggregated historical request data; generating, from the trained machine learning model, a prediction for an amount of requests for services at the one or more edge nodes; generating a predicted capacity needed to perform the predicted amount of requests; comparing the predicted capacity to a current capacity for the one or mode edge nodes; and based on the comparison, generating a recommendation for an alteration of hardware resources at the one or more edge nodes.

    Utilizing Blockchains to Implement Named Data Networking

    公开(公告)号:US20200252220A1

    公开(公告)日:2020-08-06

    申请号:US16774962

    申请日:2020-01-28

    Abstract: Novel tools and techniques are provided for utilizing blockchain to implement named data networking. In various embodiments, a computing system might determine whether a cache that is communicatively coupled to the computing system contains data that is responsive to a first request received from a user. If so, the computing system might retrieve and send (to the client device) data that is responsive to the received first request. If not, the computing system might send, to a blockchain system, a second request for identifying a blockchain containing a block containing data responsive to the received first request. In response to identifying such a blockchain, the computing system might receive a copy of the identified blockchain; might abstract, from the identified blockchain, the block containing the data responsive to the received first request; might abstract the data from the identified block; and might send the data to the client device.

    Bio-authentication for Streaming Service Account Management

    公开(公告)号:US20190281049A1

    公开(公告)日:2019-09-12

    申请号:US15980332

    申请日:2018-05-15

    Abstract: Novel tools and techniques for a bio-authentication for streaming service account management are provided. A system includes a user device configured to access a streaming service account associated with a subscriber, a database, a biometric sensor configured to obtain a biometric input form a user, and a bio-authentication engine. The bio-authentication engine may include a processor, and a non-transitory computer readable medium comprising instructions executable by the processor to determine whether an authentication event has occurred, obtain the biometric input of the user, determine whether the biometric input matches the biometric information associated with the subscriber, and allow access to a streaming service through the streaming service account.

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