BIOMETRIC SECURITY FOR EDGE PLATFORM MANAGEMENT

    公开(公告)号:US20210021594A1

    公开(公告)日:2021-01-21

    申请号:US17032696

    申请日:2020-09-25

    IPC分类号: H04L29/06

    摘要: Various aspects of methods, systems, and use cases for biometric security for edge platform management. An edge cloud system to implement biometric security for edge platform management comprises a biometric sensor; and an edge node in an edge network, the edge node to: receive a request to access a feature of the edge node, the request originating from an entity, wherein the request comprises an entity identifier and a feature identifier; receive from the biometric sensor, biometric data of the entity; authenticate the entity using the biometric data; and in response to authenticating the entity using the biometric data, grant access to the feature based on a crosscheck to an access control list that includes entity identifiers correlated to feature identifiers, using the received entity identifier and the received feature identifier.

    UPGRADE OF NETWORK OBJECTS USING SECURITY ISLANDS

    公开(公告)号:US20230027152A1

    公开(公告)日:2023-01-26

    申请号:US17956517

    申请日:2022-09-29

    摘要: Systems and techniques to upgrade network objects using security islands are described herein. Security islands of node groupings are created based on trust relationships between nodes in an edge network. An upgrade request may be received to upgrade a target edge node in the edge network. Building blocks may be identified for a package installed on the target edge node to be upgraded. A state backup may be stored for the building blocks. An upgrade command and an upgrade payload may be transmitted to the target edge node. The target edge node may be queried to obtain a status of the target edge node. An upgrade action may be determined based on the status and the upgrade action may be executed.

    ORCHESTRATOR EXECUTION PLANNING USING A DISTRIBUTED LEDGER

    公开(公告)号:US20210014132A1

    公开(公告)日:2021-01-14

    申请号:US17028728

    申请日:2020-09-22

    IPC分类号: H04L12/24 G06F9/455 H04L9/06

    摘要: Methods, systems, and use cases for orchestrator execution planning using a distributed ledger are discussed, including an orchestration system with memory and at least one processing circuitry coupled to the memory. The processing circuitry is configured to perform operations to generate an execution plan for a workload based on an SLA. The execution plan includes state transitions associated with corresponding edge service instances. A distributed ledger record is retrieved from the ledger based on a reinforcement learning reward value specified by the record. The reward value is associated with a state transition of the plurality of state transitions. An edge node is selected based on the retrieved distributed ledger record. Execution of an edge service instance of the plurality of edge service instances by the edge node is scheduled. The execution of the edge service instance corresponds to the state transition associated with the reinforcement learning reward value.

    CONTINUOUS TESTING, INTEGRATION, AND DEPLOYMENT MANAGEMENT FOR EDGE COMPUTING

    公开(公告)号:US20210011823A1

    公开(公告)日:2021-01-14

    申请号:US17028844

    申请日:2020-09-22

    IPC分类号: G06F11/263 G06F9/445

    摘要: Various aspects of methods, systems, and use cases for testing, integration, and deployment of failure conditions in an edge computing environment is provided through use of perturbations. In an example, operations to implement controlled perturbations in an edge computing platform include: identifying at least one perturbation parameter available to be implemented with a hardware components of an edge computing system that provides a service using the hardware components; determining values, which disrupt operation of the service, to implement the perturbation parameter among the hardware components; deploying the perturbation parameters to the hardware components, during operation of the service to process a computing workload, to cause perturbation effects on the service; collecting telemetry values associated with the hardware components, produced during operation of the service that indicate the perturbation effects upon the operation of the service; and cause a computing operation to occur based on the collected telemetry values.