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    Generating test data for application performance
    2.
    发明授权
    Generating test data for application performance 有权

    公开(公告)号：US12111755B2

    公开(公告)日：2024-10-08

    申请号：US17649535

    申请日：2022-01-31

    申请人： International Business Machines Corporation

    发明人： Anna Tatunashvili ,  Rupam Bhattacharjee ,  Siba Prasad Satapathy ,  George Thayyil Jacob Sushil ,  Jozef Fekia{hacek over (c)}

    IPC分类号： G06F11/36 ,  G06F11/34

    CPC分类号： G06F11/3692 ,  G06F11/3414 ,  G06F11/3684 ,  G06F11/3688

    摘要： In an approach to improve the extraction of test datasets for testing and resource optimization, embodiments execute a test run on a full dataset of a job, and identify existing bottlenecks in the job through a run-time monitoring interface. Additionally, embodiments execute a run-time metrics analysis, a source code analysis, and a source data impact analysis of a distributed data processing engine executing a distributed data processing job, and generate, by an analysis and impact scoring engine, an impact scoring table of job transformations based on the source code analysis. Furthermore, embodiments generate data extraction rules based on the impact scoring table, and extract a test dataset based on the data extraction rules. Moreover, embodiments evaluate the data extraction rules against user defined thresholds, and prepare a representative test dataset, and output, through a user interface on a computing device, the representative test dataset to a user.

    System and method for capturing workloads in a multidimensional database environment
    7.
    发明授权
    System and method for capturing workloads in a multidimensional database environment 有权

    公开(公告)号：US12001454B2

    公开(公告)日：2024-06-04

    申请号：US15332794

    申请日：2016-10-24

    申请人： ORACLE INTERNATIONAL CORPORATION

    发明人： Kenneth Lau

    IPC分类号： G06F16/28 ,  G06F11/30 ,  G06F11/34

    CPC分类号： G06F16/283 ,  G06F11/30 ,  G06F11/3414 ,  G06F2201/80

    摘要： In accordance with an embodiment, described herein is a system and method for capturing workloads in a multidimensional database environment. Workloads in the multidimensional database environment can be captured over a period of time as an archive file, which can be replayed using a standalone player against the same multidimensional database environment, or a different multidimensional database environment. The standalone player can selectively replay any portion of the archive file. Results from the replay can be compared to original base results in the recorded archive; and any difference between the results can be displayed. The player can filter out noise and expected differences, and display unexpected differences, including paths for potential issues, for use in troubleshooting, and environment and patching validation.

    ANALYTICS PERSONALIZATION FRAMEWORK
    10.
    发明公开
    ANALYTICS PERSONALIZATION FRAMEWORK 审中-公开

    公开(公告)号：US20230385171A1

    公开(公告)日：2023-11-30

    申请号：US18305025

    申请日：2023-04-21

    申请人： Google LLC

    发明人： Sundardas Samuel Dorai-Raj ,  Zilin Du ,  Nina Ning Ye ,  Ying Cheng ,  Wei Zhang ,  Annissa Al-Alusi

    IPC分类号： G06F11/34 ,  G06F16/31 ,  G06N20/00 ,  G06F17/18 ,  H04L67/50 ,  G06F18/214

    CPC分类号： G06F11/3414 ,  G06F16/313 ,  G06N20/00 ,  G06F17/18 ,  H04L67/535 ,  G06F18/214

    摘要： Methods, systems, and computer readable medium for personalizing an analytics user interface. The method includes generating a set of training data from received user interaction data, inputting the set of training data to a machine learning model to train the model, generating a set of user interest scores for the particular user that each indicate a user's interest in accessing information corresponding to a UI element of the application, determining, from the user interest scores, that the user is interested in a particular UI element that was not included in the initial UI and has at least a threshold score, dynamically modifying the initial UI to include the particular UI element, presenting the updated UI, monitoring further user interactions, updating the model based on the further user interactions, and modifying the updated UI based on the updated model.