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    MACHINE LEARNING INFERENCE CALLS FOR DATABASE QUERY PROCESSING
    7.
    发明申请
    MACHINE LEARNING INFERENCE CALLS FOR DATABASE QUERY PROCESSING 审中-公开

    公开(公告)号：WO2021055478A1

    公开(公告)日：2021-03-25

    申请号：PCT/US2020/051072

    申请日：2020-09-16

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： SONG, Sangil ,  YOON, Yongsik ,  GUPTA, Kamal Kant ,  KRISHNAMURTHY, Saileshwar ,  STEFANI, Stefano ,  SENGUPTA, Sudipta ,  NOH, Jaeyun

    IPC: G06F9/44 ,  G06F16/2458

    Abstract: Techniques for making machine learning inference calls for database query processing are described. In some embodiments, a method of making machine learning inference calls for database query processing may include generating a first batch of machine learning requests based at least on a query to be performed on data stored in a database service, wherein the query identifies a machine learning service, sending the first batch of machine learning requests to an input buffer of an asynchronous request handler, the asynchronous request handler to generate a second batch of machine learning requests based on the first batch of machine learning requests, and obtaining a plurality of machine learning responses from an output buffer of the asynchronous request handler, the machine learning responses generated by the machine learning service using a machine learning model in response to receiving the second batch of machine learning requests.

    NETWORK-ACCESSIBLE MACHINE LEARNING MODEL TRAINING AND HOSTING SYSTEM
    8.
    发明申请
    NETWORK-ACCESSIBLE MACHINE LEARNING MODEL TRAINING AND HOSTING SYSTEM 审中-公开

    公开(公告)号：WO2019104063A1

    公开(公告)日：2019-05-31

    申请号：PCT/US2018/062064

    申请日：2018-11-20

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： FAULHABER, JR., Thomas, Albert ,  STEFANI, Stefano ,  THOMAS, Owen

    IPC: G06F9/50

    Abstract: A network-accessible machine learning service is provided herein. For example, the network-accessible machine learning service provider can operate one or more physical computing devices accessible to user devices via a network. These physical computing device(s) can host virtual machine instances that are configured to train machine learning models using training data referenced by a user device. These physical computing device(s) can further host virtual machine instances that are configured to execute trained machine learning models in response to user-provided inputs, generating outputs that are stored and/or transmitted to user devices via the network.

    INDEX UPDATE PIPELINE
    10.
    发明申请
    INDEX UPDATE PIPELINE 审中-公开
    索引更新管道

    公开(公告)号：WO2014189851A1

    公开(公告)日：2014-11-27

    申请号：PCT/US2014/038640

    申请日：2014-05-19

    Applicant: AMAZON TECHNOLOGIES, INC.

    Inventor： XIAO, Wei ,  NG, Clarence, Wing Yin ,  DHAWAN, Medhavi ,  RATH, Timothy, Andrew ,  STEFANI, Stefano

    IPC: G06F9/46

    CPC classification number: G06F17/30368

    Abstract: Distributed database management systems may maintain collections of items spanning multiple partitions. Index structures may correspond to items on one partition or to items on multiple partitions. Item collections and indexes may be replicated. Changes to the data maintained by the distributed database management system may result in updates to multiple index structures. The changes may be compiled into an instruction set applicable to the index structures. In-memory buffers may contain the instructions prior to transmission to affected partitions. Replication logs may be combined with an acknowledgment mechanism for reliable transmission of the instructions to the affected partitions.

    Abstract translation: 分布式数据库管理系统可以维护跨越多个分区的项目的集合。 索引结构可以对应于一个分区上的项目或多个分区上的项目。 项目集合和索引可能被复制。 由分布式数据库管理系统维护的数据的更改可能会导致对多个索引结构的更新。 这些更改可以编译成适用于索引结构的指令集。 内存缓冲区可能会在传输到受影响的分区之前包含指令。 复制日志可以与确认机制组合，以将指令可靠地传输到受影响的分区。

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