Dynamic Arbiter Settings for Data Transmission Efficiency
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Solution Overview
Problem
Conventional data transmission systems face inefficiencies due to static arbiter settings, which cannot be dynamically adjusted, leading to wasted operation time and suboptimal data transmission efficiency.
Innovation Solution
A data transmission system that includes an arbiter parameter generating module using a neural network model to determine dynamic arbiter settings based on real-time master device resource information and slave device performance information, allowing for adaptive resource allocation and access order optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static arbiter settings are used, then device complexity is reduced, but data transmission efficiency deteriorates
Solution Approach 1:
The patent implements dynamic arbiter settings that automatically adjust based on real-time system conditions. The arbiter configuration changes from static to dynamic, allowing the system to adapt to varying workloads and optimize data transmission efficiency without manual intervention.
Solution Approach 2:
The system employs self-learning mechanisms where the arbiter automatically optimizes its own settings based on observed performance patterns. This self-service capability eliminates the need for manual configuration while maintaining optimal data transmission efficiency.
2Productivity
If manual arbiter fine-tuning is performed, then data transmission efficiency can be improved, but operation time is wasted
Solution Approach 1:
The patent incorporates feedback mechanisms that continuously monitor data transmission performance and automatically adjust arbiter settings in response. This closed-loop control eliminates manual tuning time while maintaining optimal efficiency through real-time adaptations.
Solution Approach 2:
The patent replaces manual mechanical adjustment processes with automated electronic control systems. The arbiter configuration is no longer adjusted manually but is automatically optimized through electronic algorithms, eliminating operation time loss.
3Adaptability or versatility
If arbiter settings are fixed after initial configuration, then ease of operation is improved, but adaptability deteriorates
Solution Approach 1:
The patent transforms the arbiter from a static configuration to a dynamic one that automatically adapts to changing system conditions. This dynamic behavior provides adaptability without requiring complex manual operations, as the system self-adjusts based on real-time inputs.
Data Source
AI summary
The present invention provides a data transmission system and resource allocation method thereof. The data transmission system is configured to: retrieve master device resource information and slave device performance information; based on a neural network model, determine at least one arbiter setting parameter according to the master device resource information and the slave device performance information; and determine resource allocation setting of at least one master device according to the at least one arbiter setting parameter.


