Dell products l.p. (20240303170). PROACTIVE METHOD TO PREDICT SYSTEM FAILURE AND RECOMMEND USER FOR AN UNINTERRUPTED CONNECTION WHILE REMOTELY MANAGING DEVICES simplified abstract
PROACTIVE METHOD TO PREDICT SYSTEM FAILURE AND RECOMMEND USER FOR AN UNINTERRUPTED CONNECTION WHILE REMOTELY MANAGING DEVICES
Organization Name
Inventor(s)
Parminder Singh Sethi of Ludhiana (IN)
Lakshmi Saroja Nalam of Bangalore (IN)
PROACTIVE METHOD TO PREDICT SYSTEM FAILURE AND RECOMMEND USER FOR AN UNINTERRUPTED CONNECTION WHILE REMOTELY MANAGING DEVICES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240303170 titled 'PROACTIVE METHOD TO PREDICT SYSTEM FAILURE AND RECOMMEND USER FOR AN UNINTERRUPTED CONNECTION WHILE REMOTELY MANAGING DEVICES
- Simplified Explanation:**
The patent application describes a method for recommending changes to a system with a remote access controller to improve the functioning of an information handling system (IHS) even when offline or experiencing an OS failure.
- Key Features and Innovation:**
- Method for recommending changes to a system with a remote access controller.
- Improves the functioning of an information handling system (IHS).
- Allows troubleshooting and correcting problems with the IHS even when offline or experiencing an OS failure.
- Uses a bare metal orchestrator separate from the IHS to monitor and switch the remote access controller from shared mode to dedicated mode using machine learning.
- Ensures the remote access controller is in dedicated mode when the IHS is likely to fail.
- Potential Applications:**
This technology can be applied in various industries where information handling systems are used, such as IT, telecommunications, and data centers.
- Problems Solved:**
The technology addresses the challenge of troubleshooting and correcting problems with an information handling system when it is offline or experiencing an OS failure.
- Benefits:**
- Improved functioning of information handling systems.
- Enhanced ability to troubleshoot and correct problems remotely.
- Increased efficiency in system maintenance and management.
- Commercial Applications:**
This technology could be used in IT support services, data centers, and telecommunications companies to improve the reliability and performance of information handling systems.
- Prior Art:**
Prior art related to this technology may include research on remote access controllers, machine learning in system monitoring, and methods for improving the functioning of information handling systems.
- Frequently Updated Research:**
Researchers may be exploring advancements in machine learning algorithms for predicting system failures and optimizing remote access controller performance.
- Questions about the Technology:**
1. How does the bare metal orchestrator improve the functioning of the information handling system? 2. What are the potential implications of using machine learning to switch the remote access controller to dedicated mode?
Original Abstract Submitted
embodiments described herein relate to a method for recommending changes to a system that includes a remote access controller (rac). the one or more embodiments of the invention described above may improve the functioning of an information handling system (ihs) and the ability to use an rac for troubleshooting and correcting problems with the ihs, even when the ihs is off-line or experiencing an os failure. in one or more embodiments of the invention a bare metal orchestrator, which is separate from the ihs, monitors the ihs and uses machine learning to determine when to switch the rac from shared mode to dedicated mode, so that the rac is in a dedicated mode when it is probable that the ihs will fail.
