View source for 17970301. PRESERVING HARDWARE STATUS POINTS IN OPERATING SYSTEM ENVIRONMENT FOR USE IN PREBOOT DIAGNOSTICS simplified abstract (Dell Products L.P.)

=PRESERVING HARDWARE STATUS POINTS IN OPERATING SYSTEM ENVIRONMENT FOR USE IN PREBOOT DIAGNOSTICS=


==Organization Name==

[[:Category:Dell Products L.P.|Dell Products L.P.]]


[[Category:Dell Products L.P.]]

==Inventor(s)==

[[:Category:Jacob Mink of Austin TX (US)|Jacob Mink of Austin TX (US)]][[Category:Jacob Mink of Austin TX (US)]]

[[:Category:Balasingh P. Samuel of Round Rock TX (US)|Balasingh P. Samuel of Round Rock TX (US)]][[Category:Balasingh P. Samuel of Round Rock TX (US)]]

[[:Category:Travis C. North of Cedar Park TX (US)|Travis C. North of Cedar Park TX (US)]][[Category:Travis C. North of Cedar Park TX (US)]]

==PRESERVING HARDWARE STATUS POINTS IN OPERATING SYSTEM ENVIRONMENT FOR USE IN PREBOOT DIAGNOSTICS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17970301 titled 'PRESERVING HARDWARE STATUS POINTS IN OPERATING SYSTEM ENVIRONMENT FOR USE IN PREBOOT DIAGNOSTICS

==Simplified Explanation==

The abstract describes a method and system for monitoring telemetry data within an operating system environment of an information handling system to detect anomalous conditions and generate alerts. Pre-boot operations are then performed based on the detected anomalies.

* Monitoring telemetry data within an OS environment
* Generating anomaly alerts in response to anomalous conditions
* Determining OS-context configuration based on monitored hardware status parameters
* Performing pre-boot operations based on detected anomalies
* Configuring the information handling system in accordance with the OS-context configuration
* Performing hardware diagnostic routines during pre-boot operations

== Potential Applications ==
This technology could be applied in various industries where the continuous monitoring of hardware status parameters is crucial for maintaining system integrity and performance. It can be particularly useful in data centers, manufacturing facilities, and critical infrastructure environments.

== Problems Solved ==
This technology helps in early detection of hardware anomalies, allowing for proactive maintenance and reducing the risk of system failures. By performing pre-boot operations based on detected anomalies, potential issues can be addressed before they impact system performance.

== Benefits ==
The benefits of this technology include improved system reliability, reduced downtime, and increased operational efficiency. By configuring the system based on the detected anomalies, potential risks can be mitigated, leading to a more stable and secure computing environment.

== Potential Commercial Applications ==
Potential commercial applications of this technology include system monitoring software, hardware diagnostic tools, and integrated solutions for information handling systems. Companies specializing in IT infrastructure management and cybersecurity could leverage this technology to enhance their product offerings.

== Possible Prior Art ==
One possible prior art for this technology could be existing system monitoring tools that track hardware status parameters and generate alerts based on predefined thresholds. However, the unique aspect of this innovation lies in the integration of pre-boot operations based on detected anomalies, which can help in preemptive system maintenance and configuration adjustments.

=== Unanswered Questions ===

== How does this technology impact system performance and efficiency over time? ==
Answer: The article does not delve into the long-term effects of implementing this technology on system performance and efficiency. It would be interesting to explore how proactive maintenance based on detected anomalies can contribute to overall system reliability and longevity.

== What are the potential challenges in implementing this technology across different types of information handling systems? ==
Answer: The article does not address the potential challenges that may arise when implementing this technology in diverse information handling systems with varying hardware configurations. It would be important to consider compatibility issues and customization requirements for different environments.


==Original Abstract Submitted==

Disclosed methods and system feature or perform operations including monitoring, within an operating system (OS) environment of an information handling system, telemetry data indicative of values for one or more hardware status parameters and generating any of one or more anomaly alerts responsive to identifying any of one or more anomalous conditions. Responsive to detecting an anomaly alert, an OS-context configuration may be determined based on the hardware status parameters monitored during a timebox associated with the anomaly alert. Responsive to detecting a reset of the information handling system, preboot operations may be performed wherein the pre-boot operations may include configuring the information handling system in accordance with the OS-context configuration and performing one or more hardware diagnostic routines while the information handling system is configured in accordance with the OS-context configuration.



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