Service Traffic Adjustment for Time-Sensitive Networking
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Solution Overview
Problem
Current network architectures for time-sensitive networking waste network resources and have low network usage efficiency due to configuring forwarding devices based on maximum service traffic requirements, which often exceed actual traffic needs.
Innovation Solution
A service traffic adjustment method and apparatus that use a first controller to obtain first and second limit values of a traffic parameter, calculate a target value based on these limits and configuration information of forwarding devices, and adjust service traffic accordingly to meet delay requirements while reducing resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If forwarding devices are configured based on maximum service traffic requirements, then delay requirements are met, but network resources are wasted and network usage efficiency is low
Solution Approach 1:
The patent changes the traffic parameter from a static maximum limit to a dynamic target value that adapts to actual traffic conditions. The controller calculates a target traffic parameter within a feasible range that satisfies delay requirements while being lower than the maximum limit, thereby reducing network resource allocation and improving efficiency.
Solution Approach 2:
The patent introduces dynamic traffic adjustment by continuously monitoring actual traffic and adjusting the target traffic parameter accordingly. The system transitions from static maximum-based configuration to dynamic adaptive control, allowing the network to optimize resource usage based on real-time conditions while maintaining delay guarantees.
2Reliability
If forwarding devices are configured based on maximum service traffic requirements, then delay requirements are met, but network usage efficiency is low
Solution Approach 1:
The patent optimizes the traffic parameter by calculating a target value within a feasible range that balances delay requirements and resource efficiency. This parameter optimization enables the network to operate at optimal efficiency levels rather than being constrained by overly conservative maximum limits.
Solution Approach 2:
The patent implements a feedback mechanism where the controller monitors actual traffic conditions and adjusts the target traffic parameter accordingly. This closed-loop control ensures that network usage efficiency is continuously optimized while maintaining the necessary delay guarantees for time-sensitive services.
3Reliability
If network resources are overallocated to meet maximum traffic requirements, then delay requirements are ensured, but actual traffic needs are not met efficiently
Solution Approach 1:
The patent adjusts the network resource allocation parameter from a fixed maximum value to a dynamic target value that reflects actual traffic needs. The controller calculates this target parameter within a feasible range that ensures delay guarantees while minimizing resource allocation, thereby eliminating overprovisioning.
Solution Approach 2:
The patent applies partial action by allocating only the necessary portion of network resources required to meet delay requirements, rather than allocating the full maximum capacity. This partial allocation strategy eliminates waste while maintaining service quality.
Data Source
AI summary
A service traffic adjustment method includes a first controller obtaining a first limit value of a traffic parameter and a second limit value of the traffic parameter. The first controller obtains a target value of the traffic parameter based on the first limit value of the traffic parameter, the second limit value of the traffic parameter, and configuration information of a forwarding device through which the service flow passes. The target value of the traffic parameter meets a delay requirement of the service flow, the target value falls within a range determined based on the first limit value of the traffic parameter and the second limit value of the traffic parameter, and the first limit value is not equal to the second limit value. The first controller sends the target value of the traffic parameter.