Atos has patented a method for optimizing software application run parameters on an information processing platform. The method involves iteratively optimizing parameters based on run time, using a genetic optimization algorithm. The system stores parameter-run time associations to create a history for efficient future executions. GlobalData’s report on Atos gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Atos, Access control systems was a key innovation area identified from patents. Atos's grant share as of May 2024 was 65%. Grant share is based on the ratio of number of grants to total number of patents.
Optimizing software application run parameters using genetic optimization algorithm
A recently granted patent (Publication Number: US12008479B2) discloses a computer-implemented method and device for optimizing run parameters of a software application on an information processing platform to enhance the run time efficiency of the application. The method involves iteratively optimizing run parameters for each execution of the software application by determining a set of run parameters, storing associations between these parameters and run times in a run history, and applying a regression function to estimate run times based on the historical data. The method utilizes a genetic optimization algorithm to determine the set of run parameters, which is then evaluated through multiple executions of the software application. In a real-time operating mode, the method can infer the optimal set of parameters from the run history to minimize run time for new execution requests.
Furthermore, the device described in the patent comprises at least one processor and is designed to carry out the same iterative optimization process as the method. The device determines run parameters, stores associations with run times in a run history, applies a regression function for estimation, and utilizes a genetic optimization algorithm to determine the optimal set of parameters. Similar to the method, the device evaluates the set of parameters through multiple executions of the software application and can infer the best parameters from the run history in real-time operation. The patent also specifies that the determined run time is calculated as the average value of the run times for the multiple executions, ensuring a comprehensive evaluation of the software application's performance under different parameter settings.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
