Switch Stack Emulation for Configuration Tracking
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Solution Overview
Problem
Conventional methods for managing and tracking switch stack configurations in large networks are laborious, error-prone, and inefficient, especially with increasing numbers of VLANs, leading to cumbersome and time-consuming processes for port assignments and changes.
Innovation Solution
A system and method for adaptive switch stack interaction, including discovery, emulation, and remote management, which involves communicating with switches to gather data, develop models, and create graphical representations for user-selectable interfaces, allowing for real-time updates and constraint-based configuration changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual methods are used to track switch configurations and port assignments, then detailed control over each switch can be achieved, but the process becomes laborious, error-prone, and time-consuming
Solution Approach 1:
The patent creates virtual copies of physical switches through graphical user interface representations. Each switch is represented by a graphical icon that mirrors its physical configuration, allowing administrators to interact with virtual models rather than physical devices directly. This copying approach enables automated tracking and configuration management while maintaining precise control over switch settings and port assignments.
Solution Approach 2:
The system introduces an intermediary layer between the administrator and the physical switches. This intermediary consists of the graphical user interface and the underlying software platform that automatically discovers, models, and manages switch configurations. The intermediary handles the complex tasks of configuration tracking and port assignment automation, eliminating manual errors and reducing time consumption while maintaining configuration accuracy.
2Ease of operation
If manual tracking methods are used for switch and port information, then detailed configuration control is possible, but the process becomes cumbersome and error-prone
Solution Approach 1:
Virtual graphical representations of switches are created that accurately mirror physical switch configurations. These copies enable administrators to perform configuration tasks through intuitive graphical interfaces rather than manual command-line operations, significantly improving ease of operation while maintaining configuration accuracy through automated validation and tracking mechanisms.
Solution Approach 2:
The system implements automated feedback mechanisms that continuously monitor and validate switch configurations. When configuration changes are made through the graphical interface, the system automatically verifies the changes against predefined rules and constraints, providing immediate feedback to prevent errors. This feedback loop ensures configuration reliability while maintaining operational simplicity.
3Productivity
If detailed manual tracking of VLANs and port assignments is performed, then complete configuration control is achieved, but the process becomes time-consuming and laborious
Solution Approach 1:
The system performs preliminary automated discovery and modeling of switch configurations before administrators need to make changes. By pre-establishing the virtual representations and configuration baselines, the system eliminates the need for manual tracking setup and enables rapid port assignments and VLAN configurations through the graphical interface, significantly improving productivity while reducing time consumption.
Solution Approach 2:
Virtual copies of switch configurations enable administrators to plan and simulate changes before applying them to physical devices. This copying approach allows for rapid configuration management through graphical drag-and-drop operations, eliminating time-consuming manual processes while maintaining complete control over VLAN assignments and port configurations.
Data Source
AI summary
Systems, methods, and machine-readable storage media to facilitate adaptive switch stack interaction are disclosed. Discovery may be performed via a network with respect to switches, each switch corresponding to a switch stack and including ports communicatively coupled to endpoint devices or access points. Switch data transmitted from the plurality of switches may be processed and used to develop models of the switches. Each model may include switch specifications, and a particular model may be used to emulate a particular switch. Emulation data may be created to facilitate a graphical representation formatted to represent the particular switch. The emulation data may be transmitted to an endpoint device to facilitate an emulation interface that may correspond to a graphical layout of the particular switch that allows access, via user-selectable interface elements, to a subset of the switch data that is mapped to the particular switch.