INFERENCING ENDPOINT DISCOVERY IN COMPUTING SYSTEMS

    公开(公告)号:US20230102510A1

    公开(公告)日:2023-03-30

    申请号:US18057455

    申请日:2022-11-21

    摘要: Techniques for machine learning inferencing endpoint discovery in a distributed computing system are discloses herein. In one example, a method includes searching a database containing machine learning endpoint records having data representing values of execution latency or prediction accuracy corresponding inferencing endpoints deployed in the distributed computing system. The method also includes generating a list of inferencing endpoints matching the individual target values and determining whether a count of the inferencing endpoints in the generated list exceeds a preset threshold. In response to determining that the identified count does not exceed the preset threshold, the method includes instantiating one or more additional inferencing endpoints in the distributed computing system based on the individual target values in the received query.

    UNIFIED GRAPH GENERATION
    2.
    发明公开

    公开(公告)号:US20240004931A1

    公开(公告)日:2024-01-04

    申请号:US17854336

    申请日:2022-06-30

    IPC分类号: G06F16/901 G06F16/9038

    CPC分类号: G06F16/9024 G06F16/9038

    摘要: A method of generating a unified graph is described. First graph data is received from a first data source, nodes within the first graph data including first, second, and third fields. Second graph data is received from a second data source, nodes within the second graph data including first, second, and fourth fields. The unified graph is generated from the first and second graph data using aggregated fields of the first field and the third field as a unique identifier of a unified schema for nodes within the unified graph having a first type and aggregated fields of the first field and the fourth field as a unique identifier of the unified schema for nodes within the unified graph having a second type, wherein nodes of the unified graph represent entities and edges of the unified graph represent relationships among the entities.