Dynamic Traffic Control via User Behavior Monitoring
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Solution Overview
Problem
Conventional network traffic control methods are inadequate as they do not consider usage differences between applications and user behavioral characteristics, leading to inefficient traffic management and potential network overload.
Innovation Solution
A traffic control method that dynamically monitors user behavior status to set appropriate traffic control thresholds for applications, distinguishing between active and inactive states to adjust network usage accordingly, thereby improving the intelligence of traffic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed traffic control threshold is set for the client, then network overload is prevented, but the traffic control becomes blind to user behavioral characteristics and application usage differences
Solution Approach 1:
The patent applies dynamics by transforming the static fixed traffic threshold into a dynamic adaptive threshold that automatically adjusts based on monitored user behavioral characteristics and application usage patterns. The system continuously learns from user behavior data and modifies the traffic control threshold accordingly, enabling the control mechanism to adapt to changing conditions while maintaining network overload prevention.
Solution Approach 2:
The patent implements feedback by establishing a closed-loop system where user behavior is continuously monitored, analyzed, and fed back to adjust the traffic control threshold. The system observes application usage patterns and user interactions, processes this information, and uses the feedback to intelligently modify the threshold, creating a self-regulating traffic control mechanism that responds to actual usage conditions.
2Ease of manufacture
If traffic control is performed on total client traffic without considering application differences, then implementation is simple, but traffic control efficiency is reduced due to inability to distinguish between foreground and background applications
Solution Approach 1:
The patent applies segmentation by dividing the monolithic traffic control approach into application-specific control segments. Instead of treating all applications uniformly, the system segments traffic control by individual applications, analyzing and controlling traffic for each application separately based on its usage characteristics and importance, thereby improving control efficiency while maintaining manageable complexity.
Solution Approach 2:
The patent implements local quality by applying differentiated traffic control policies to different applications based on their specific characteristics and user behavior patterns. Each application receives customized traffic control treatment tailored to its local needs and usage context, rather than applying a uniform global policy, which enhances overall traffic control efficiency.
Data Source
AI summary
A traffic control method and device are provided. The method may include: monitoring a user behavior status of an application, where the user behavior status includes an active state or an inactive state; according to predefined correspondence between a user behavior status and a traffic control threshold, determining a traffic control threshold corresponding to the monitored user behavior status; and controlling traffic of the application by using the determined traffic control threshold. Therefore, the traffic of the application can be dynamically monitored and the intelligence of traffic control can be improved.