Usage-Based Component Configuration for Information Handling Systems

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Solution Overview

Problem

End users face difficulty in selecting appropriate components for information handling systems due to the vast array of configurations available, often resulting in underutilization or overutilization of components, leading to inefficient resource allocation and increased costs.

Innovation Solution

A system and method that monitors usage data to determine efficient component utilization, allowing for customized configurations or upgrades based on actual usage patterns, enabling the selection of either less-capable or more-capable components to match user needs, thereby optimizing resource allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If end users select more-capable components to ensure system performance, then system performance is improved, but cost increases and components are underutilized

Engineering Contradiction:

Improvesystem performanceVSAvoidresource allocation efficiency

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs preliminary monitoring and analysis of actual usage patterns before finalizing component configuration recommendations. By collecting usage data over time and analyzing patterns in advance, the system can suggest optimal component configurations that match actual needs, preventing both over-provisioning and under-provisioning of resources.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system continuously monitors usage data and provides feedback on component utilization levels. This feedback loop allows the system to adjust configuration recommendations based on actual usage patterns, ensuring that component capabilities align with real-world demands and improving resource allocation efficiency.

Inventive Principle:

Principle #23Feedback

2Loss of energy

If end users select less-capable components to reduce cost, then cost is reduced, but system performance becomes insufficient

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidsystem performance

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system dynamically adjusts configuration recommendations based on changing usage patterns and requirements. By monitoring usage parameters over time and identifying trends, the system can suggest parameter changes that optimize performance while controlling costs, adapting to evolving user needs.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If a vast array of component configurations is made available, then system adaptability is improved, but user confusion and selection difficulty increase

Engineering Contradiction:

Improveconfiguration optionsVSAvoidcomponent selection

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system extracts and highlights only the most relevant configuration options based on actual usage patterns. By filtering out unnecessary choices and presenting only the configurations that best match measured usage needs, the system simplifies the selection process while maintaining adaptability to different usage scenarios.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system automatically monitors usage patterns and generates configuration recommendations without requiring users to manually analyze numerous options. This self-service approach eliminates selection complexity by having the system autonomously determine optimal configurations based on observed usage data.

Inventive Principle:

Principle #25Self-service

4Reliability

If components are over-provisioned to meet peak demands, then system reliability is improved, but resource allocation efficiency decreases

Engineering Contradiction:

Improvesystem performanceVSAvoidresource allocation efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system implements dynamic configuration recommendations that adapt to changing usage patterns over time. Rather than static over-provisioning, the system continuously monitors usage and adjusts component configuration suggestions to match actual demands, maintaining reliability while improving resource allocation efficiency through dynamic optimization.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS8874728B2System and method for customizing information handling system product and service offerings based on usage profiles

Publication Date: 2014.10.28 DELL PROD LP

AI summary

Usage data monitored at information handling systems is collected and analyzed to provide a basis for component selection for information handling systems by associating components with end user usage profiles. For example, a monitor tracks usage data at an end user information handling system and determines that the end user's usage falls within usage pattern defined by analysis of plural other end users. The end user is directed towards selection of components associate with the defined usage pattern to replace components of the information handling system or for use in a replacement information handling system. Analysis on an enterprise-wide basis helps an enterprise to allocate components and information handling systems to end users of an enterprise.