FCIP Tunnel Bandwidth Reallocation for Shared IP Links
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Solution Overview
Problem
Existing Fibre Channel over Internet Protocol (FCIP) communication channels face challenges in efficiently managing bandwidth, particularly when multiple tunnels share a single IP link, leading to limited bandwidth utilization and congestion.
Innovation Solution
Implementing an intelligent bandwidth management system that monitors traffic demand and reallocates physical throughput bandwidth by configuring tunnel parameters or virtualizing extension switches, using machine learning for predictive forecasting and real-time adjustments to optimize bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple tunnels share a single IP link in FCIP communication, then bandwidth utilization is limited and congestion occurs, but increasing bandwidth allocation to each tunnel increases device complexity and cost
Solution Approach 1:
The patent implements dynamic bandwidth allocation where tunnel bandwidth is not fixed but adjusts automatically based on real-time traffic demand. The system continuously monitors traffic patterns and reallocates bandwidth dynamically, allowing the network to adapt to changing conditions without manual intervention or complex static configuration schemes.
Solution Approach 2:
The system employs feedback mechanisms by monitoring traffic demand on FCIP tunnels and using this information to adjust bandwidth allocation. The monitoring component detects traffic patterns and feeds this data back to the bandwidth management system, which then reallocates bandwidth accordingly, creating a closed-loop control system that optimizes utilization automatically.
2Productivity
If bandwidth is statically allocated to FCIP tunnels, then configuration is simple, but bandwidth utilization efficiency decreases during varying traffic demand
Solution Approach 1:
The bandwidth management system operates autonomously without requiring manual configuration or intervention. It self-monitors traffic demand, self-analyzes patterns using machine learning, and self-adjusts bandwidth allocation automatically. This eliminates the need for complex manual configuration while maintaining high utilization efficiency through adaptive resource management.
Solution Approach 2:
The system changes bandwidth allocation parameters dynamically based on traffic conditions rather than maintaining static parameters. Machine learning algorithms analyze traffic patterns and automatically adjust bandwidth parameters (such as allocation ratios, priority levels, and threshold values) to optimize efficiency without requiring manual reconfiguration or complex static planning.
Data Source
AI summary
Methods and systems include managing bandwidth in Fibre Channel over Internet Protocol (FCIP) communication channels. A method includes monitoring traffic demand at an FCIP communication channel and, in response to an anticipated period of throughput demand on the FCIP communication channel, reallocating physical throughput bandwidth of the FCIP communication channel by configuring bandwidth of one or more tunnels of the FCIP communication channel.