Stackable System Roles Dynamic Resource Allocation
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Solution Overview
Problem
Computing devices face inefficiencies in resource allocation and service quality due to limited hardware and software components, leading to suboptimal provision of computer-implemented services, as resources are either over- or under-allocated based on service types.
Innovation Solution
Implementing a method for managing information handling systems through stackable system roles (SSRs) that dynamically determine and apply roles based on hardware resource inventories and environmental needs, using ratio-based bucket analysis and encryption for secure and efficient resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are allocated based on fixed service types, then resource allocation is simple to manage, but resource utilization efficiency deteriorates due to over- or under-allocation
Solution Approach 1:
The patent implements dynamic resource allocation by allowing information handling systems to assume different stackable system roles (SSRs) based on environmental needs and hardware capabilities. Instead of fixed allocation, the system continuously determines appropriate SSRs through ratio-based bucket analysis, enabling resource utilization to adapt to changing conditions while maintaining manageable complexity through automated role assignment.
Solution Approach 2:
The system changes the parameter of resource allocation from static service-type-based assignment to dynamic role-based assignment. By introducing SSRs that can be determined through environmental analysis and hardware inventory assessment, the system transforms resource allocation into a flexible parameter that adapts to different operational contexts, improving efficiency without proportionally increasing complexity.
2Productivity
If stackable system roles are dynamically determined using ratio-based bucket analysis, then resource allocation efficiency improves, but system complexity increases
Solution Approach 1:
The system implements self-service through automated SSR determination. The information handling system autonomously performs ratio-based bucket analysis using its hardware resource inventory and environmental information to determine its own SSR without requiring complex external management intervention. This self-determination capability improves service provision efficiency while keeping system management complexity manageable through automation.
Solution Approach 2:
The system uses feedback mechanisms by continuously analyzing environmental information and hardware inventories to determine appropriate SSRs. The ratio-based bucket analysis processes feedback from the operational environment and system capabilities to dynamically adjust resource allocation, improving service efficiency while maintaining manageable complexity through systematic feedback processing.
3Reliability
If encryption is implemented for secure resource management, then security improves, but processing time increases
Solution Approach 1:
The system performs preliminary action by establishing encryption protocols and secure communication channels in advance of resource management operations. By setting up the cryptographic framework beforehand, the system ensures security is already in place when resource allocation and SSR determination occur, minimizing the time penalty during critical operations while maintaining high security standards.
Data Source
AI summary
A method for managing information handling systems includes obtaining, by an information handling system dictator, a stackable system role (SSR) entry from an information handling system, in response to the obtaining, performing a ratio-based bucket analysis using a set of SSR buckets to obtain a determined SSR for the IHS, wherein each of the SSR buckets corresponds to a unique SSR, updating the SSR entry based on the determined SSR to obtain an updated SSR entry, and providing the updated SSR entry to a SSR manager of the information handling system.