Automated Hardware Healing in Composed Information Handling Systems
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Solution Overview
Problem
Existing computing systems face challenges in efficiently managing and allocating resources to provide computer-implemented services, leading to potential service failures due to resource inefficiencies and quality issues, as resources can become compromised, necessitating automatic healing mechanisms.
Innovation Solution
The implementation of a system that instantiates composed information handling systems using a three-resource set model, allowing for dynamic allocation and reallocation of compute, control, and hardware resources, with a system control processor manager that monitors resource utilization and automatically replaces compromised resources based on specified replacement options and conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are dynamically allocated and reallocated in composed information handling systems, then resource efficiency and service quality are improved, but system complexity and difficulty of managing resource states increase
Solution Approach 1:
The system implements automated self-healing capabilities where the resource manager automatically detects compromised resources, evaluates replacement options, and executes resource replacement without human intervention. The system monitors resource health status, identifies failures, and autonomously reallocates resources to maintain service quality, thereby improving resource efficiency while managing complexity through automation rather than manual processes
Solution Approach 2:
The patent implements continuous monitoring and feedback mechanisms where the system tracks resource utilization, health status, and service quality metrics. Based on this feedback, the resource manager dynamically adjusts resource allocation and triggers automated healing processes when compromises are detected, creating a closed-loop control system that balances resource efficiency with manageable complexity through data-driven decision-making
2Reliability
If automated resource replacement is implemented, then service reliability is improved, but system complexity and operational overhead increase
Solution Approach 1:
The system pre-configures replacement options and criteria for resources before failures occur. The resource manager establishes replacement policies, identifies potential replacement resources in advance, and prepares replacement procedures ahead of time. When resource compromise is detected, the pre-prepared replacement plan enables immediate action, improving service reliability while reducing the operational complexity of handling failures ad-hoc
Solution Approach 2:
The automated healing mechanism performs self-diagnosis and self-repair by monitoring resource health, detecting compromises, and executing replacement operations autonomously. The system evaluates replacement options against predefined criteria and automatically implements the chosen replacement without requiring human operational intervention, thereby enhancing service reliability while minimizing the operational overhead burden
3Reliability
If continuous monitoring of resource utilization is performed, then service quality is maintained, but energy consumption and system overhead increase
Solution Approach 1:
The system implements periodic monitoring of resource utilization at strategically determined intervals rather than continuous monitoring. The resource manager schedules health checks and utilization assessments based on service requirements, resource criticality, and historical patterns. This periodic approach maintains adequate service quality by detecting resource compromises at appropriate intervals while significantly reducing energy consumption and system overhead compared to continuous monitoring
Solution Approach 2:
The monitoring system applies differentiated monitoring intensity to different resources based on their criticality and service importance. Critical resources receive more frequent and thorough monitoring, while less critical resources are monitored at lower intensity. This selective monitoring approach maintains service quality for essential functions while reducing overall energy consumption and overhead by avoiding excessive monitoring of all resources uniformly
Data Source
AI summary
In general, the invention relate to providing computer implemented services using information handling systems. One or more embodiments includes after being allocated to a composed information handling system of the composed information handling systems: monitoring health of a hardware resource of the composed information handling system, making a determination, based on the monitoring of the health of the hardware resource, that the hardware resource is in a compromised state, and based on the determination, initiating a hardware replacement operation using replacement option information (ROI) for the hardware resource and replacement conditions for the hardware resource.