METHOD, DEVICE AND STORAGE MEDIUM FOR DATA MANAGEMENT

    公开(公告)号:US20210318907A1

    公开(公告)日:2021-10-14

    申请号:US17355134

    申请日:2021-06-22

    Abstract: A data management method, apparatus, a computing device, a storage medium, and a cloud platform are provided. The data management method includes: obtaining a task request, the task request indicating to retrieve stored data to execute a task; updating execution information for the data, the execution information for the data describing one or more tasks that need retrieval of the data and the execution frequency of each of the tasks; calculating, based on the updated execution information for the data and for each of a plurality of electronic storage locations, a storage-location-specific cost value of the data; and determining a target electronic storage location of the data according to the calculated cost value.

    METHOD, APPARATUS, SYSTEM, AND COMPUTER-READABLE MEDIUM FOR TRAFFIC PATTERN PREDICTION

    公开(公告)号:US20210209938A1

    公开(公告)日:2021-07-08

    申请号:US17208830

    申请日:2021-03-22

    Abstract: A traffic pattern prediction method, device, server, system, and a computer-readable medium are provided. The method includes: acquiring historical traffic volume data of a target block within a target geographic region, and determining a traffic pattern change sequence of the target block based on the historical traffic volume data; acquiring historical point-of-interest data of multiple point-of-interest categories of the target block, and determining, for at least one point-of-interest category of the multiple point-of-interest categories, a point-of-interest change sequence of the target block based on the historical point-of-interest data; determining, for the at least one point-of-interest category, an association between the traffic pattern change sequence and the point-of-interest change sequence; and determining, based on using a traffic pattern prediction model, a traffic pattern of the target block at a future target moment based on the historical traffic volume data, the historical point-of-interest data, and the association.

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