TRANSPORTATION ENVIRONMENT DATA SERVICE

    公开(公告)号:US20210110713A1

    公开(公告)日:2021-04-15

    申请号:US17132371

    申请日:2020-12-23

    摘要: Disclosed are embodiments that provide a transportation environment data service. The transportation environmental data service includes harvesting services that crawl roadside infrastructure solutions to obtain sensor data collected from sensors physically positioned at the roadside infrastructure. In some cases, the roadside infrastructure solutions perform additional processing on the sensor data. For example, some roadside infrastructure performs object detection and/or object recognition. When encountering these solutions, the edge or harvesting service also collects the object detection and/or object recognition information. Customers can subscribe to various data services provided by the transportation environment data service. For example, some subscribers indicate an interest in any updates of environmental data for a particular region. Other subscribers are interested in video data associated with any vehicular accidents detected by the transportation environment data service.

    EDGE COMPUTING LOCAL BREAKOUT
    3.
    发明申请

    公开(公告)号:US20220038554A1

    公开(公告)日:2022-02-03

    申请号:US17407456

    申请日:2021-08-20

    IPC分类号: H04L29/08 H04L12/715

    摘要: The present disclosure describes local breakout for edge computing systems, wherein the local breakout selectively routes the traffic from/to a user equipment between an edge compute node or some other service such as a core network, cloud computing service, or the like. Packets related to microservices that are offered by the edge compute node are routed to the edge compute node instead of routing those packets to the core network, and packets that are not related to the microservices provided by the edge compute node are routed to the core network or to another network such as a data network or cloud computing service. In these ways, the local breakout mechanisms provide low latency and reduced network resource consumption for the microservices and decreased data traffic load on the core network.