CLOUD-BASED SYSTEMS FOR OPTIMIZED MULTI-DOMAIN PROCESSING OF INPUT PROBLEMS USING MACHINE LEARNING SOLVER TYPE SELECTION

    公开(公告)号:US20230048306A1

    公开(公告)日:2023-02-16

    申请号:US17675471

    申请日:2022-02-18

    IPC分类号: G06F9/50

    摘要: Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner. In one embodiment, an example method is provided. The method comprises: receiving a problem type of an input problem originating from a client computing entity; mapping the problem type to one or more selected solver types; generating one or more container instances of one or more compute containers, each compute container corresponding to a selected solver type; generating a problem output using the one or more container instances; and providing the problem output comprising a solution to the input problem to the client computing entity. In various embodiments, optimized solutions for input problems are determined using a cloud-based multi-domain solver system configured to dynamically allocate computing and processing resources between different solution-determining tasks.

    CLOUD-BASED SYSTEMS FOR OPTIMIZED MULTI-DOMAIN PROCESSING OF INPUT PROBLEMS USING A SERVERLESS REQUEST MANAGEMENT ENGINE NATIVE TO A SERVER CLOUD INFRASTRUCTURE

    公开(公告)号:US20230047692A1

    公开(公告)日:2023-02-16

    申请号:US17675454

    申请日:2022-02-18

    IPC分类号: G06F9/54

    摘要: Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner. In one embodiment, an example method is provided. The method comprises: receiving a problem type of an input problem originating from a client computing entity; mapping the problem type to one or more selected solver types; generating one or more container instances of one or more compute containers, each compute container corresponding to a selected solver type; generating a problem output using the one or more container instances; and providing the problem output comprising a solution to the input problem to the client computing entity. In various embodiments, optimized solutions for input problems are determined using a cloud-based multi-domain solver system configured to dynamically allocate computing and processing resources between different solution-determining tasks.

    CLOUD-BASED SYSTEMS FOR OPTIMIZED MULTI-DOMAIN PROCESSING OF INPUT PROBLEMS USING MULTIPLE SOLVER TYPES

    公开(公告)号:US20230047230A1

    公开(公告)日:2023-02-16

    申请号:US17675439

    申请日:2022-02-18

    IPC分类号: G06F9/54

    摘要: Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner using multiple solver types. In one embodiment, an example method involves receiving a problem type of an input problem originating from a client computing entity, mapping the problem type to one or more selected solver types, generating one or more container instances of one or more compute containers with each compute container corresponding to a selected solver type, generating a problem output using the one or more container instances, and providing the problem output to the client computing entity, where the problem output includes an optimized solution to the input problem that can be used to perform one or more prediction-based actions.