BMC Software has been granted a patent for a computer program product that monitors performance metrics in a technology landscape, identifies restart events, and transitions impacted metrics to normal range. This innovation allows for accurate performance characterization and alerts for abnormal operations. GlobalData’s report on BMC Software 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 BMC Software, Hybrid cloud mgmt was a key innovation area identified from patents. BMC Software's grant share as of January 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
Performance monitoring and characterization of technology landscape after restart events
A recently granted patent (Publication Number: US11886297B2) discloses a computer program product that monitors performance metrics from various components of a technology landscape. The product generates a performance characterization of the landscape by categorizing each component as operating normally or abnormally based on assigned scores. It can detect restart events within the landscape, identify impacted performance metrics, and automatically transition them from restart-impacted to non-restart-impacted metrics. The system includes a trained machine learning model to assist in scoring the performance metrics and generating alerts when components operate outside the normal range. The product also features a graphical user interface displaying classifications of scores and icons to represent restart-impacted metrics.
Furthermore, the patent describes a computer-implemented method and system that mirror the functionalities of the computer program product. The method involves monitoring performance metrics, generating a performance characterization, detecting restart events, and transitioning impacted metrics. It utilizes a trained machine learning model for scoring and includes a graphical user interface for visual representation. The system, comprising memory and processors, executes instructions to monitor, generate, detect, and transition performance metrics, utilizing a common scoring scheme and a trained machine learning model. It also includes a graphical user interface with restart-impacted icons and score characterization icons for easy visualization and management of performance metrics.
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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.
