Dell products l.p. (20240249134). CHARACTERIZING COMPUTER INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES simplified abstract
Contents
CHARACTERIZING COMPUTER INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES
Organization Name
Inventor(s)
Deborah C. Russell of Arvada CO (US)
Muzhar S. Khokhar of Shrewsbury MA (US)
Claudia Realegeno of Maple Valley WA (US)
Nikhil Manohar Vichare of Austin TX (US)
CHARACTERIZING COMPUTER INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240249134 titled 'CHARACTERIZING COMPUTER INFRASTRUCTURE USING MACHINE LEARNING TECHNIQUES
The abstract of this patent application describes methods, apparatus, and processor-readable storage media for characterizing computer infrastructure using machine learning techniques.
- Obtaining a machine learning model trained with a set of training data to generate labels for computer infrastructure elements based on user interactions and configuration information.
- Generating additional labels for computer infrastructure elements using the machine learning model and information on user interactions and configuration data.
- Performing automated actions related to the computer infrastructure elements based on the additional labels.
Potential Applications: - Automated monitoring and management of computer infrastructure elements. - Predictive maintenance of computer systems based on generated labels. - Optimization of resource allocation in a computer network.
Problems Solved: - Efficiently characterizing and managing complex computer infrastructure. - Enhancing the performance and reliability of computer systems through automated actions. - Streamlining the monitoring and maintenance processes of computer networks.
Benefits: - Improved efficiency in managing computer infrastructure. - Enhanced predictive capabilities for system maintenance. - Reduction in downtime and potential system failures.
Commercial Applications: Title: Automated Characterization of Computer Infrastructure for Enhanced Management This technology can be utilized in data centers, cloud computing environments, and large-scale IT systems to automate the monitoring and management of computer infrastructure elements. It can also be integrated into network management software for enhanced performance and reliability.
Questions about the technology: 1. How does this technology improve the efficiency of managing computer infrastructure? 2. What are the potential cost-saving benefits of implementing this automated characterization system?
Original Abstract Submitted
methods, apparatus, and processor-readable storage media for characterizing computer infrastructure using machine learning techniques are provided herein. an example computer-implemented method includes obtaining a machine learning model that is trained, using a set of training data, to generate one or more labels for one or more of a plurality of computer infrastructure elements, where the training data is based on information corresponding to user interactions and configuration information associated with at least a portion of the computer infrastructure elements; generating, using the machine learning model, at least one additional label for at least one additional computer infrastructure element using information corresponding to one or more user interactions and configuration information associated with the at least one additional computer infrastructure element; and performing one or more automated actions related to the at least one additional computer infrastructure element based at least in part on the at least one additional label.
