Automated Multi-Fabric Link Aggregation via Discovery Signals
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Solution Overview
Problem
The manual configuration of Link Aggregation Groups (LAGs) between primary I/O modules and leaf switch devices in different network fabrics is time-consuming and error-prone, disrupting the automated connection between network fabrics.
Innovation Solution
An automated multi-fabric link aggregation system that includes a processing system with a memory system to automatically configure I/O module uplink ports in a LAG based on discovery communications received from leaf switch devices, eliminating the need for manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual configuration of Link Aggregation Groups (LAGs) is performed between primary I/O modules and leaf switch devices, then the connection between network fabrics can be established, but the process becomes time-consuming and error-prone
Solution Approach 1:
The system enables automated self-configuration of Link Aggregation Groups by having the I/O module automatically detect leaf switch devices and configure LAGs without manual intervention. The fabric manager system receives discovery communications, identifies compatible devices, and programmatically configures the aggregation, allowing the system to service itself rather than requiring human operators.
Solution Approach 2:
The fabric manager system performs preliminary actions by pre-configuring the I/O module with capabilities to automatically detect and aggregate with leaf switch devices. Discovery communications are pre-enabled on uplink ports, and the system prepares the configuration framework in advance so that when devices are connected, the LAG configuration can immediately proceed without waiting for manual setup.
2Productivity
If automated configuration is implemented, then configuration time is reduced, but system complexity increases due to additional automation mechanisms
Solution Approach 1:
The fabric manager system acts as an intermediary between the I/O module and leaf switch devices, handling the complex automation logic centrally. Rather than embedding complex detection and configuration algorithms in each network device, the fabric manager mediates the interaction, receiving discovery communications and orchestrating the LAG configuration process, thereby managing complexity in a dedicated control plane.
Solution Approach 2:
The system implements feedback mechanisms where the fabric manager monitors discovery communications from leaf switch devices and automatically adjusts LAG configuration based on detected device presence and status. The configuration state is continuously monitored and adjusted in response to feedback from the network topology changes, enabling adaptive automated configuration without requiring complex pre-programming of all possible scenarios.
Data Source
AI summary
An automated multi-fabric link aggregation system includes leaf switch devices that have leaf switch device downlink ports, that are included in a first network fabric, and that are aggregated to provide a first aggregation fabric. Each leaf switch device generates discovery communications including a first network fabric identifier for the first network fabric, and a first aggregation fabric identifier for the first aggregation fabric. The leaf switch devices then transmit the discovery communications via the leaf switch device downlink ports. I/O modules that have I/O module uplink port are included in a second network fabric and are aggregated to provide a second aggregation fabric. The I/O modules receive the discovery communications via each of the I/O module uplink ports, determine that each received discovery communication includes the first network fabric identifier and the first aggregation fabric identifier and, in response, automatically configure the I/O module uplink ports in a LAG.