Adaptive Packet Aggregation for Communication Tunnel Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing packet aggregation techniques in communication networks face limitations, particularly under certain network conditions, which affect tunnel performance and traffic handling efficiency.
Innovation Solution
An adaptive packet aggregation method and apparatus that aggregates data packets based on adjustable parameters, monitoring tunnel and traffic parameters to optimize transmission through communication tunnels, adjusting aggregation settings in real-time to enhance performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If packet aggregation is applied to reduce communication overhead, then fewer packets are handled and overhead is reduced, but performance may deteriorate under certain network conditions
Solution Approach 1:
The patent implements dynamic packet aggregation by continuously monitoring tunnel parameters (queue status, delay, throughput) and adjusting aggregation parameters in real-time. The system transitions from static aggregation policies to adaptive aggregation that responds to changing network conditions, resolving the contradiction by making aggregation behavior flexible rather than fixed.
Solution Approach 2:
The patent employs feedback mechanisms where tunnel monitor components continuously observe network performance metrics and feed this information back to adjust aggregation parameters. This closed-loop control ensures that aggregation decisions are based on actual network state, preventing performance deterioration while maintaining overhead reduction benefits.
2Device complexity
If fixed packet aggregation policies are used, then implementation is simple, but limitations are pronounced under certain network conditions
Solution Approach 1:
The system replaces fixed aggregation policies with dynamic parameter adjustment based on monitored tunnel conditions. Aggregation parameters such as aggregation window size and packet selection criteria are continuously adapted to current network state, enabling the system to perform well across diverse network conditions without requiring complex manual configuration.
Solution Approach 2:
The patent changes aggregation parameters (such as aggregation window size, packet priority weights, and selection thresholds) based on monitored tunnel parameters. This parameter adaptation allows the system to maintain simplicity in implementation while achieving versatility in performance across different network scenarios.
3Productivity
If aggregation parameters are adjusted in real-time based on monitored parameters, then performance is optimized, but system complexity increases
Solution Approach 1:
The patent segments the packet aggregation system into distinct functional modules: packet aggregator components that perform aggregation, tunnel monitor components that observe parameters, and controller components that adjust settings. This modular segmentation manages complexity by assigning specific functions to separate components that can be developed and maintained independently.
Solution Approach 2:
The system implements self-service through automatic parameter adjustment based on monitored conditions. The tunnel monitor and controller work autonomously to optimize aggregation parameters without requiring external intervention, reducing operational complexity while maintaining high transmission efficiency through continuous adaptation.
Data Source
AI summary
A method and apparatus for handling data packets transmitted via a communication tunnel are provided. Tunnel parameters corresponding to transmission of data packets via the communication tunnel are monitored, and aggregation parameters are adjusted based on the tunnel parameters. Based on the current aggregation parameters, the data packets can be aggregated into aggregate data packets for transmission via the communication tunnel. The aggregation parameters can be an aggregation window size. The tunnel parameters can be: end-to-end packet delay of the communication tunnel; throughput of the communication tunnel; and status of one or more queues, such as queue size, belonging to routers of the communication tunnel.