MEMORY AUTO TUNING
    2.
    发明申请

    公开(公告)号:US20250005323A1

    公开(公告)日:2025-01-02

    申请号:US18216698

    申请日:2023-06-30

    Abstract: A method, system, and computer program product that is configured to: receive at least one workload of a mixed addressing mode application; classify the at least one workload with artificial intelligence (AI) including a support vector machine (SVM) algorithm; match at least one agent to the at least one workload based on a workload class and tuning policies; execute workload polices of the at least one workload based on the workload class and the tuning policies; evaluate a transaction per second (TPS) and response time of the at least one workload; calculate a reward of the at least one workload; and train a plurality of models based on historical data corresponding to the evaluated TPS, the evaluated response time, and the calculated reward.

    DATA TRANSMISSION ENHANCEMENT FOR HYBRID CLOUD

    公开(公告)号:US20240427617A1

    公开(公告)日:2024-12-26

    申请号:US18212147

    申请日:2023-06-20

    Abstract: The method provides for enhancing transmission of data between multiple host arrays in separate cloud environments. Arrays of host devices are built, respectively, within a plurality of cloud environments. Data transmission from the data source is received by a first array of host devices of a first cloud environment, and the first array of host devices of the first cloud environment transmits the received data to a second array of host devices of a second cloud environment, and the first array of host devices and the second array of host devices transmit the data to a third array of host devices of a third cloud environment.

    Comparison of database data
    4.
    发明授权

    公开(公告)号:US12135702B2

    公开(公告)日:2024-11-05

    申请号:US17016431

    申请日:2020-09-10

    Abstract: Embodiments of the present disclosure relate to a method, system, and computer program product for comparison of database data. According to the method, a first tree structure corresponding to first data segments of first database data and a second tree structure corresponding to second data segments of second database data are at least partially obtained. Each node of the first or second tree structure indicating a characteristic value of at least one of the first or second data segments, and nodes of the first or second tree structure are divided into a first or second plurality of branches from a first or second root node based on update frequencies of the first or second data segments. A difference between the first data segments and the second data segments is determined by at least comparing characteristic values indicated by nodes in the obtained parts of the first and second tree structures.

    WEB CONFERENCE DATA VISUALIZATION
    7.
    发明公开

    公开(公告)号:US20240250838A1

    公开(公告)日:2024-07-25

    申请号:US18159190

    申请日:2023-01-25

    CPC classification number: H04L12/1822 G06T11/206

    Abstract: Aspects of the present disclosure relate to data visualization in web conferences. Type-related information of a web conference can be acquired. A conference type of the web conference can be identified based on the acquired type-related information of the web conference and type templates stored in a type repository. A visualization format from a plurality of visualization formats stored in a format repository can be determined based on the identified conference type. Key information required by the determined visualization format can be extracted from raw data of the web conference. Visual data within the determined visual format can be created by populating the extracted key information into the determined visualization format.

    DYNAMIC DATA COLLECTION
    8.
    发明公开

    公开(公告)号:US20240241885A1

    公开(公告)日:2024-07-18

    申请号:US18155242

    申请日:2023-01-17

    CPC classification number: G06F16/2477 G06F16/24564

    Abstract: Disclosed embodiments provide techniques for dynamic data collection. The dynamic data collection includes determining a data generation temporal pattern. Based on the data generation temporal pattern, a data collection strategy is created. The data collection strategy can be based on one or more data collection goals. The data collection strategy can contain specific details on how data is to be collected. A data infrastructure evaluation is performed, which provides pricing models for resources such as electricity and/or network bandwidth. A data collection policy is created based on the data collection strategy and the data infrastructure evaluation. The data collection policy can contain specific details on when data is to be collected and what strategy to use for the collection. A data transfer schedule is created based on the data collection policy. The data transfer schedule determines when to collect data from one or more data source devices.

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