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    Data locality-aware MapReduce using IoT devices
    3.
    发明授权
    Data locality-aware MapReduce using IoT devices 有权

    公开(公告)号：US10757177B1

    公开(公告)日：2020-08-25

    申请号：US15716033

    申请日：2017-09-26

    Applicant: Amazon Technologies, Inc.

    Inventor： Feng Wang ,  Chen Yang ,  Calvin Yue-Ren Kuo

    IPC: H04L29/08

    Abstract: A client network implements data locality-aware MapReduce using IoT devices. An IoT service of a provider network receives configuration settings from a user to implement map nodes and reduce nodes at the client network. Each map node is configured to receive its own locality-based partition of data from one or more data sources (e.g., sensors) that are within a map function data locality (e.g., a particular location of the network). Each map node then processes the locality-based partition of the data, generates results, and sends the results to a reduce node. The reduce node may be located at a remote provider network. A coordinator node may also be deployed to one or more devices of the client network. If a map node or a compute node becomes overloaded, the coordinator node may redirect some data to a map node or a reduce node of a remote provider network.

    Remote configuration of battery charging settings
    4.
    发明授权
    Remote configuration of battery charging settings 有权

    公开(公告)号：US10666077B1

    公开(公告)日：2020-05-26

    申请号：US15800741

    申请日：2017-11-01

    Applicant: Amazon Technologies, Inc.

    Inventor： Bhupal Kanaiyalal Dharia ,  Feng Wang ,  Jianlin Chen ,  Xuezhang Dong

    IPC: H02J7/00 ,  G06F1/28

    Abstract: Systems, methods, and computer-readable media are disclosed for remote configuration of battery charging settings. In one embodiment, an example device may include a battery, at least one memory that stores computer-executable instructions, and at least one processor. The at least one processor may be configured to access the at least one memory and execute the computer-executable instructions to determine that a charger is connected to the device, determine a first length of time that a maximum charging voltage for the battery has been set to a first voltage value, determine that the maximum charging voltage is to be reduced from the first voltage value to a second voltage value, and charge the battery at a maximum of the second voltage value.

    Distributed querying of computing hubs
    5.
    发明授权
    Distributed querying of computing hubs 有权

    公开(公告)号：US11366865B1

    公开(公告)日：2022-06-21

    申请号：US16122704

    申请日：2018-09-05

    Applicant: Amazon Technologies, Inc.

    Inventor： Calvin Yue-Ren Kuo ,  Chen Yang ,  Ankit Masrani ,  Feng Wang ,  Kyunghwan Choi ,  Robert Battle

    IPC: G06F16/9535 ,  G06F16/27 ,  G06F16/901 ,  H04L12/28 ,  H04L41/12 ,  H04L67/12 ,  H04W4/38

    Abstract: A technology is described for distributed querying of computing hubs for device-generated data. In one example, computing hubs may provide a storage service to devices included in a local device network, and the devices may send device-generated data to the computing hubs to be stored by the storage service. A distributed query may be initiated by identifying the computing hubs that have the device-generated data stored on the computing hubs and sending a message containing query instructions to the computing hubs. The query instructions, when executed on the computing hubs, retrieve the device-generated data from the storage service included on the computing hubs, and the computing hubs may send the device-generated data to a service provider environment.

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