Remote Access Controller Switching for OS Failure Continuity
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Solution Overview
Problem
Existing systems face challenges in maintaining uninterrupted remote access to hardware elements within an information handling system (IHS) due to the remote access controller (RAC) being in a shared mode, which can lead to loss of connectivity during operating system (OS) failures or reboots.
Innovation Solution
A bare metal orchestrator uses machine learning to monitor telemetry and system logs to detect impending OS failures and automatically switch the RAC from shared to dedicated mode, ensuring continuous access even during OS failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the remote access controller is in a shared mode, then resource utilization is improved, but connectivity reliability deteriorates during OS failures
Solution Approach 1:
The system proactively switches the RAC from shared mode to dedicated mode before an OS failure occurs, based on predictive analytics detecting impending failures. This preliminary action ensures connectivity reliability is maintained when needed most, while still allowing shared mode to be used during normal operation for optimal resource utilization.
2Reliability
If the remote access controller is switched to dedicated mode, then connectivity reliability is improved, but resource utilization deteriorates
Solution Approach 1:
The RAC dynamically switches between shared and dedicated modes based on real-time system conditions and predictive failure analysis. During normal operation, the RAC operates in shared mode for optimal resource utilization. When failure predictions are detected, it automatically transitions to dedicated mode to ensure connectivity reliability, creating a dynamic adaptation to changing requirements.
3Measurement precision
If predictive monitoring is implemented, then failure detection capability is improved, but system complexity increases
Solution Approach 1:
The system implements a feedback loop where telemetry data from the IHS is continuously monitored and analyzed by the orchestrator. The orchestrator detects predictive indicators of OS failures, provides feedback by triggering mode switches, and maintains logs of these events. This feedback mechanism enables precise failure detection while managing complexity through automated responses rather than manual intervention.
Data Source
AI summary
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.


