SYSTEMS AND METHODS FOR INTER-OPERATOR EDGE DISCOVERY USING DISTRIBUTED LEDGER SYSTEM

    公开(公告)号:US20230344719A1

    公开(公告)日:2023-10-26

    申请号:US17660116

    申请日:2022-04-21

    CPC classification number: H04L41/12 H04W40/246 H04W28/0268

    Abstract: A system described herein may record, to a distributed ledger, information associating a particular application with a particular set of Quality of Service (“QoS”) information. A particular Multi-Access/Mobile Edge Computing (“MEC”) device operator system may access the distributed ledger to identify the information associating the particular application with the particular set of QoS information. The system may read, from the distributed ledger, MEC configuration information indicating that the MEC device operator system has configured one or more MEC devices, of a plurality of MEC devices to provide the particular application in accordance with the particular set of QoS information. The system may select a particular MEC device, from the plurality of MEC devices, based on a request and further based on the MEC configuration information, and may output an indication of the selected particular MEC device in response to the request.

    REMOTE LATENCY CALLS FOR LATENCY CLUSTERED COMPUTE INSTANCES

    公开(公告)号:US20220303334A1

    公开(公告)日:2022-09-22

    申请号:US17832015

    申请日:2022-06-03

    Abstract: A device receives, from a first compute instance, a Remote Latency Call, that includes a target latency measure, a function, and one or more arguments for the function. The device clusters a plurality of compute instances into multiple clusters of compute instances based on a respective latency measure associated with each compute instance of the plurality of compute instances, and determines a first cluster of compute instances from the multiple clusters of compute instances that satisfies the target latency measure. The device causes a second compute instance within the first cluster of compute instances to execute the function, using the one or more arguments, and return one or more results.

    Systems and methods for using blockchain to manage service-level agreements between multiple service providers

    公开(公告)号:US11973666B1

    公开(公告)日:2024-04-30

    申请号:US18045649

    申请日:2022-10-11

    CPC classification number: H04L41/5019 H04L41/0686 H04L41/5009

    Abstract: In some implementations, a management system may receive service information from a plurality of service providers. A plurality of network devices, of the plurality of service providers, may be blockchain nodes of a blockchain. The service information, of a service provider, may identify network services provided by a network device of the service provider and identifies a location of the network device. The management system may receive, via the blockchain, information regarding a service-level agreement associated with a subset of service providers, of the plurality of service providers, providing network services for an application. The management system may receive, via the blockchain, an approval of the service-level agreement from each service provider of the subset of service providers. The management system may perform an action based on the service-level agreement and based on the network services provided by the subset of service providers for the application.

    SYSTEMS AND METHODS FOR POLICY-BASED MONITORING OF NETWORK KEY PERFORMANCE INDICATORS

    公开(公告)号:US20240031249A1

    公开(公告)日:2024-01-25

    申请号:US17813775

    申请日:2022-07-20

    CPC classification number: H04L41/5009

    Abstract: A system described herein may monitor, on an ongoing basis, a Key Performance Indicators (“KPIs”) associated with a wireless network. The system may receive, from a particular device, a monitoring policy specifying one or more criteria, and may compare the criteria associated with the monitoring policy to the monitored KPIs. The system may determine, based on the comparing, that the criteria associated with the monitoring policy is satisfied; may determine a particular subset of the monitored KPIs based on the monitoring policy and further based on determining that the criteria associated with the monitoring policy is satisfied; and may output the particular subset of the monitored KPIs to the second device. The system may monitor the wireless network via private interfaces that are not exposed to devices external to the wireless network.

    Edge computing for internet of things security with blockchain authentication

    公开(公告)号:US11770444B2

    公开(公告)日:2023-09-26

    申请号:US17727180

    申请日:2022-04-22

    Abstract: A device may include a memory storing instructions and processor configured to execute the instructions to receive, by a first blockchain node and via a first base station, a message from a first Internet of Things (IoT) device to a second IoT device, wherein the device corresponds to a first multi-access edge computing (MEC) device located in a first MEC network associated with the first base station. The processor may be further configured to authenticate, by the first blockchain node, the first IoT device using a blockchain associated with a group of IoT devices and send, by the first blockchain node, the message to a second blockchain node in a second MEC device in a second MEC network associated with a second base station servicing the second IoT device, in response to authenticating the first IoT device using the blockchain associated with the group of IoT devices.

    Remote latency calls for latency clustered compute instances

    公开(公告)号:US11632421B2

    公开(公告)日:2023-04-18

    申请号:US17832015

    申请日:2022-06-03

    Abstract: A device receives, from a first compute instance, a Remote Latency Call, that includes a target latency measure, a function, and one or more arguments for the function. The device clusters a plurality of compute instances into multiple clusters of compute instances based on a respective latency measure associated with each compute instance of the plurality of compute instances, and determines a first cluster of compute instances from the multiple clusters of compute instances that satisfies the target latency measure. The device causes a second compute instance within the first cluster of compute instances to execute the function, using the one or more arguments, and return one or more results.

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