Peer Device Profile Exchange for Network Optimization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Information handling systems with embedded electronics in device networks face challenges in optimizing device performance and managing profiles across diverse devices, leading to inefficiencies in processing, storage, and communication, particularly in dynamic network environments like IoT systems.

Innovation Solution

A system and method for device optimization in a network of devices with embedded electronics, where devices can exchange profiles and performance information peer-to-peer, allowing for automatic updates and performance adjustments based on shared metrics, enabling efficient operation and adaptive behavior in ecosystems formed by interconnected devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If devices in a network exchange profiles and performance information peer-to-peer, then device performance and system efficiency are improved, but device complexity and communication overhead increase

Engineering Contradiction:

Improvedevice performanceVSAvoidcommunication overhead

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

Devices continuously exchange performance information and profiles with peer devices, creating a feedback loop that enables automatic optimization. Each device monitors its own performance metrics and shares them with the network, receiving feedback from peers about optimal configurations and adjusting its operation accordingly to maintain high performance while distributing the optimization intelligence across the network

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

Each device autonomously manages its own performance optimization by receiving profiles from peers and automatically adjusting its configuration based on shared performance metrics. The system enables self-service optimization where devices independently make adjustments without centralized control, reducing the need for complex external management while maintaining high performance

Inventive Principle:

Principle #25Self-service

2Reliability

If automatic updates and performance adjustments are implemented based on shared metrics, then system reliability and adaptability are improved, but processing overhead and energy consumption increase

Engineering Contradiction:

Improvesystem reliabilityVSAvoidenergy consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

Instead of continuous monitoring and adjustment, the system implements periodic exchanges of performance information and profiles between devices. Devices update their configurations at scheduled intervals based on accumulated performance data, reducing the frequency of communication and processing events while maintaining system reliability through regular updates that capture meaningful performance trends

Inventive Principle:

Principle #19Periodic action

Solution Approach 2:

The system optimizes energy consumption by dynamically adjusting the parameters of performance monitoring and profile exchange based on network conditions and device state. When performance metrics indicate stability, the system reduces the frequency of updates and communications; when performance degradation is detected, it increases monitoring intensity, thereby adapting energy consumption to actual system needs while maintaining reliability

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If diverse devices with embedded electronics are integrated into a network, then versatility and ecosystem capability are improved, but difficulty in managing profiles and optimizing performance increases

Engineering Contradiction:

Improveecosystem capabilityVSAvoidprofile management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system implements a universal profile exchange mechanism that works across diverse device types with embedded electronics. A standardized profile format and communication protocol enable different device classes (sensors, actuators, processors) to share performance information and configurations uniformly, allowing the same optimization logic to be applied across heterogeneous devices without requiring device-specific management complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The profile management system segments performance information and device configurations into modular, standardized components that can be independently exchanged and combined. By dividing complex device profiles into discrete, manageable elements with standardized schemas, the system enables versatile integration of diverse devices while simplifying profile management through structured, reusable profile segments

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10129131B2System and method for device optimization in a network of devices with embedded electronics

Publication Date: 2018.11.13 DELL PROD LP

AI summary

An information handling system includes a memory and a processor that couples to a first peer device, determines a first performance level for a performance parameter of the information handling system, receives a second performance level for the performance parameter of the first peer device, compares the first performance level with the second performance level, and determines that the first performance level is discrepant from the second performance level based upon the comparison.