Network Device Operation Policy Switching for Load Density Adaptation
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Solution Overview
Problem
Current network management systems lack efficient mechanisms to dynamically adjust network device operations based on load density, leading to suboptimal performance and resource utilization.
Innovation Solution
A self-configuring network device operation coordination system that implements density-based operation policies, allowing network devices to switch between different operational modes based on load density, adjusting parameters such as client access limits, bandwidth, and frequency band settings to optimize service access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If network devices operate with fixed configuration parameters, then device complexity is reduced and ease of operation is improved, but network performance and resource utilization deteriorate under varying load conditions
Solution Approach 1:
The patent implements dynamic operation policies that automatically adjust network device parameters based on real-time load density monitoring. The system transitions from static fixed configurations to dynamic adaptive configurations, where operational parameters such as client access limits, bandwidth allocations, and frequency band settings are continuously optimized according to current network conditions, thereby resolving the contradiction between fixed simplicity and dynamic performance.
Solution Approach 2:
The system employs parameter changes by modifying operational parameters (client limits, bandwidth, frequency bands) based on load density thresholds. When load density exceeds predefined thresholds, the system automatically adjusts these parameters to optimize network performance, transforming the fixed parameter approach into a flexible parameter-adaptation mechanism that maintains productivity while managing complexity through automated rule-based adjustments.
2Adaptability or versatility
If network devices dynamically adjust operational parameters based on load density, then network performance and resource utilization are improved, but device complexity and operational management difficulty increase
Solution Approach 1:
The patent implements self-service through automated operation policy management where network devices autonomously monitor their own load density and automatically select and apply appropriate operation policies without manual intervention. The system includes built-in mechanisms for load monitoring, policy selection, and parameter adjustment, enabling the network infrastructure to self-optimize based on real-time conditions, thereby achieving high adaptability while maintaining ease of operation through automation.
Solution Approach 2:
The system employs feedback mechanisms by continuously monitoring load density metrics and using this information to dynamically adjust operational parameters. The feedback loop involves measuring current network conditions, comparing them against predefined thresholds, and automatically triggering appropriate policy changes, creating a closed-loop control system that adapts to changing conditions while simplifying operational management through automated decision-making based on real-time feedback.
3Productivity
If manual configuration of network device parameters is used, then implementation simplicity is maintained, but response time to changing network conditions increases and productivity decreases
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple operation policies with different parameter sets optimized for various load density scenarios. Instead of manually adjusting parameters when conditions change, the system has previously prepared appropriate configurations and automatically selects the most suitable pre-configured policy based on current load density, enabling rapid response to changing network conditions without manual intervention and thereby improving productivity while minimizing time loss.
Data Source
AI summary
Techniques for synchronizing a network device to selectively operate according to a selectable operation policy. A system utilizing such techniques can a self-configuring network device operation coordination system and a self-configuring network device operation management system. A method utilizing such techniques can include synchronizing a network device to selectively operate according to a first operation policy and a second operation policy in providing network service access.


