Adaptive Sub-Tunneling for Bandwidth Oversubscription
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Solution Overview
Problem
Existing network tunnel management approaches lead to oversubscription and saturation in sub-tunnels due to non-uniform network traffic distribution, resulting in inefficient bandwidth allocation and operational inefficiencies.
Innovation Solution
Individual monitoring and adjustment of sub-tunnels based on resource utilization data, using techniques like least-fill redistribution to optimize bandwidth allocation and reduce the number of sub-tunnels when necessary, ensuring each sub-tunnel operates within defined bandwidth thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If bandwidth for each sub-tunnel is increased uniformly to satisfy increased demand, then network capacity is improved, but oversubscription occurs in sub-tunnels with non-uniform traffic distribution
Solution Approach 1:
The patent implements individual sub-tunnel monitoring and adjustment, where each sub-tunnel's bandwidth is optimized based on its specific traffic characteristics rather than applying uniform increases to all sub-tunnels. This local quality approach allows bandwidth to be allocated precisely where needed, preventing oversubscription in low-traffic sub-tunnels while ensuring adequate capacity in high-traffic sub-tunnels.
Solution Approach 2:
The system dynamically adjusts sub-tunnel bandwidth allocation based on real-time traffic monitoring and predicted demand. Instead of static uniform allocation, the bandwidth distribution adapts continuously to changing traffic patterns, allowing the network to respond flexibly to varying demands across different sub-tunnels and preventing both oversubscription and underutilization.
2Quantity of substance
If multiple sub-tunnels are implemented to satisfy large network demand, then network capacity is increased, but the system complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where network traffic patterns are continuously monitored, analyzed, and used to automatically adjust sub-tunnel bandwidth allocation. The system collects traffic data, predicts future demand, and dynamically reallocates resources without manual intervention. This automated feedback loop simplifies management of multiple sub-tunnels by replacing complex manual configuration with intelligent automatic adjustment based on actual usage patterns.
3Adaptability or versatility
If sub-tunnels are saturated to allocate bandwidth to other tunnels, then resource allocation flexibility is improved, but operational efficiency decreases
Solution Approach 1:
The system implements dynamic bandwidth allocation where sub-tunnel capacity is adjusted in real-time based on actual traffic demands and priority requirements. Rather than statically saturating sub-tunnels and redistributing capacity, the system proactively allocates bandwidth dynamically, ensuring high-priority traffic receives adequate resources while maintaining overall network efficiency and preventing performance degradation.
Data Source
AI summary
Management of a plurality of sub-tunnels is disclosed herein. Resource utilization of a plurality of sub-tunnels of a network tunnel implementing a Resource Reservation Protocol is monitored. A resource utilization of a first set of the sub-tunnels exceeding a defined utilization threshold is detected. As a result of the detection, an adjusted resource utilization is determined for a second set of the sub-tunnels. The resource utilization of the second set of sub-tunnels may be less than a defined utilization threshold. The adjusted resource utilization is established for the second set of sub-tunnels for a next measurement interval. The adjusted resource utilization of each sub-tunnel of the second subset of sub-tunnels may be less than a lowest resource utilization among the first set of sub-tunnels.