Atos has filed a patent for a computer-implemented method to program checkpoints for applications on a computing infrastructure. The method involves predicting resource anomalies to determine the application’s failure date and programming the checkpoint accordingly. 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 January 2024 was 69%. Grant share is based on the ratio of number of grants to total number of patents.
Predicting application failure date and programming checkpoint accordingly
The patent application (Publication Number: US20240037014A1) describes a computer-implemented method for programming a checkpoint of at least one application running on a computing infrastructure. The method involves determining the date of failure of the application based on predicting anomalies in the allocated resources and programming the checkpoint accordingly. The date of failure is determined by identifying the resource causing the anomaly and considering a prediction confidence index. The checkpoint is set to trigger before the predicted failure date by a predetermined duration, based on resource data collected either before or during application execution.
Furthermore, the patent application details a computing infrastructure comprising resources allocated to application execution, a prediction module for determining failure dates based on anomalies, and a programming module for setting checkpoints. The programming module can also configure frequency-based checkpoints at multiple saving time instants. Additionally, a non-transitory computer product is described, containing instructions for implementing the method on a computer. The product may include a non-transitory computer-readable recording medium or a program. Overall, the patent application aims to enhance application reliability by proactively setting checkpoints based on predicted anomalies in allocated resources, ultimately improving system performance and stability.
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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.
