Enterprise Fabric Network Feedback for Resource Depletion Detection
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Solution Overview
Problem
In Enterprise Fabric Networks, there is a lack of direct communication and visibility between wireless controllers and fabric edge nodes regarding resource depletion, leading to potential client disconnection without notice and difficulty in troubleshooting.
Innovation Solution
Implementing a feedback mechanism through a network management system that provides reactive and proactive approaches to monitor resource availability and depletion, using message types and opaque data to notify wireless controllers of resource constraints, and allowing them to take appropriate actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If wireless control plane is separated from data plane to leverage wired data path speeds, then wireless traffic forwarding speed is improved, but visibility and communication between wireless controller and fabric edge nodes deteriorates
Solution Approach 1:
The patent introduces a feedback mechanism as an intermediary component that bridges the separated control plane and data plane. This feedback mechanism monitors resource utilization at fabric edge nodes and communicates resource status back to the wireless controller, enabling visibility without requiring direct communication channels between the separated planes.
Solution Approach 2:
The patent implements a feedback loop where resource utilization information flows from fabric edge nodes back to the wireless controller. This feedback mechanism allows the controller to detect resource depletion conditions and take appropriate actions, resolving the information loss caused by plane separation.
2Adaptability or versatility
If direct communication between wireless controller and fabric edge nodes is eliminated, then network architecture security and modularity are improved, but troubleshooting difficulty and resource monitoring capability worsen
Solution Approach 1:
The feedback mechanism serves as an intermediary that enables indirect monitoring of resource conditions. Instead of requiring direct controller-to-edge-node communication, the feedback mechanism captures resource status information and relays it to the controller, maintaining architectural separation while enabling detection capability.
Solution Approach 2:
The fabric edge nodes autonomously monitor their own resource utilization and generate feedback information about their resource status. This self-service approach allows nodes to report their condition without requiring active polling or direct communication channels from the controller.
3Device complexity
If resource depletion is not monitored, then system complexity is reduced, but client connection reliability deteriorates due to unnoticed resource exhaustion
Solution Approach 1:
The feedback mechanism provides continuous monitoring of resource utilization at fabric edge nodes. By implementing this feedback loop, the system can detect resource depletion conditions before they cause client disconnections, thereby improving reliability while maintaining manageable complexity through automated detection and notification.
Data Source
AI summary
Techniques that include a network that is configured in the first mode of a reactive mode to respond to a client attempting to access an endpoint of the network by providing information to be sent to a map server and by checking whether at least an IP address associated with the client corresponds to a registration produced for the client by a wireless controller. Further, the network is configured in a second mode of a proactive mode to determine based on a count maintained by a wireless controller of a number of client IP addresses whether to allow access or not to allow access to one or more clients to the network.