Dell products l.p. (20240305522). Method to Clone Failure Models for Real-Time Action Sequencing simplified abstract
Contents
Method to Clone Failure Models for Real-Time Action Sequencing
Organization Name
Inventor(s)
Raja Neogi of Portland OR (US)
Khayam Anjam of Austin TX (US)
Method to Clone Failure Models for Real-Time Action Sequencing - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240305522 titled 'Method to Clone Failure Models for Real-Time Action Sequencing
Simplified Explanation: The patent application describes a system, method, and computer-readable medium for managing and monitoring data centers. It involves receiving event data for various data center components, processing the data to create models, and generating an overall event model for the data center assets.
- Key Features and Innovation:
- Receiving event data for data center asset components - Assigning data to vectorized input spaces - Reducing dimensionality to latent spaces for modeling - Decoding latent spaces to create output spaces - Generating event models for data center components - Creating an overall event model for the data center assets
Potential Applications: This technology can be applied in various industries that rely on data centers, such as cloud computing, telecommunications, and large-scale enterprises.
Problems Solved: The technology helps in efficiently managing and monitoring data center assets, identifying issues, and predicting potential failures before they occur.
Benefits: - Improved data center asset management - Enhanced monitoring capabilities - Early detection of potential issues - Optimal performance and reliability of data center operations
Commercial Applications: Title: Data Center Management and Monitoring Technology This technology can be utilized by data center operators, cloud service providers, and IT companies to streamline operations, improve efficiency, and ensure the reliability of their services.
Prior Art: Readers can explore existing patents related to data center management, asset monitoring, and predictive maintenance to gain a deeper understanding of the technology landscape in this field.
Frequently Updated Research: Researchers are constantly working on enhancing data center management systems, incorporating advanced analytics, machine learning algorithms, and automation to optimize performance and reliability.
Questions about Data Center Management and Monitoring Technology: 1. How does this technology improve the efficiency of data center operations? 2. What are the potential cost-saving benefits of implementing this system in a data center environment?
Original Abstract Submitted
a system, method, and computer-readable medium for performing a data center management and monitoring operation. the data center management and monitoring operation includes: receiving data center asset component event data for a plurality of data center asset components; assigning the data center asset component event data for the plurality of data center asset components to respective vectorized input spaces; reducing a dimension of the respective vectorized input spaces to respective latent spaces, each respective latent space providing respective component event model dimension; decoding each respective latent space to provide respective vectorized decoded output spaces; generating a plurality of data center asset component event models for the plurality of data center asset components using the respective vectorized decoded output spaces; and, generating a data center asset event model using a combination of the plurality of data center asset component event models.
