Network Apparatus Traffic Prediction Power Control
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Solution Overview
Problem
Existing network apparatuses face a trade-off between power saving efficiency and communication quality due to the need for a large performance margin to prevent packet loss during burst traffic, and the switching time to adjust performance affects both power saving and packet loss prevention.
Innovation Solution
A network apparatus that predicts traffic volume periodicity and adjusts transfer performance based on this prediction, using a circuit count determining part to control the number of packet processing circuits and optimize power consumption while maintaining communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large performance margin is maintained to prevent packet loss during burst traffic, then communication quality is improved, but power consumption increases
Solution Approach 1:
The patent dynamically adjusts the performance of packet processing circuits based on real-time traffic conditions. The control unit monitors traffic volume and selectively activates or deactivates packet processing circuits to match actual demand, replacing static performance margin with adaptive performance scaling that maintains reliability only when necessary.
Solution Approach 2:
The system changes operational parameters (performance level of packet processing circuits) based on traffic conditions. By adjusting the active state of circuits according to traffic volume thresholds, the system transitions between high-performance and low-power states, resolving the trade-off between maintaining packet loss prevention and reducing power consumption.
2Reliability
If performance adjustment switching time is reduced, then packet loss prevention is improved, but power saving efficiency deteriorates
Solution Approach 1:
The system performs preliminary actions by proactively adjusting performance before traffic bursts cause packet loss. The control unit monitors traffic volume and activates additional packet processing circuits in advance when traffic exceeds thresholds, preventing packet loss before it occurs rather than reacting after delays.
3Use of energy by moving object
If traffic volume prediction accuracy is improved, then power saving efficiency is improved, but system complexity increases
Solution Approach 1:
The system implements feedback mechanisms where the control unit continuously monitors actual traffic volume and compares it with predicted values. This feedback loop enables the system to learn from prediction accuracy and adjust future predictions, improving power saving efficiency through iterative refinement rather than complex upfront modeling.
Solution Approach 2:
The prediction system serves itself by using historical traffic data stored in memory to generate future predictions. The control unit autonomously adjusts performance based on self-generated predictions without requiring external complex prediction algorithms, achieving reasonable accuracy through self-service learning from past patterns.
Data Source
AI summary
To prevent the switching time influences power saving efficiency and packet loss prevention performance, it is provided a network apparatus for transferring packets, including a transfer part for transferring received packets to a given destination, and a determining part for obtaining traffic volume of the packets to be transferred. The determining part determines periodicity of changes to the traffic volume, predicts traffic volume after a predetermined period of time with use of the determined periodicity, and controls transfer performance of the transfer part based on a result of the traffic volume prediction.