Hyper-Converged Device Auto-Discovery and Network Configuration
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Solution Overview
Problem
In conventional virtual computing environments, configuring new hosts and managing virtual machines is complex, requiring high skill levels, and locating faulty devices within large networks is difficult due to the lack of efficient auto-discovery and network configuration methods.
Innovation Solution
The implementation of pre-configured hyper-converged computing devices that automatically discover and configure themselves within a network, using unique identifiers to correlate server nodes with locations and enabling auto-join capabilities to form clusters or operate as standalone appliances, thereby simplifying the process of deploying and managing virtual machines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual configuration methods are used for hosts and virtual machines, then configuration accuracy can be maintained, but the complexity of the configuration process increases and requires high skill levels
Solution Approach 1:
The system enables hosts and virtual machines to automatically discover each other and configure network settings without manual intervention. The auto-discovery mechanism allows devices to self-identify and self-configure, eliminating the need for complex manual configuration while maintaining accuracy through automated validation processes
Solution Approach 2:
Network configuration parameters and policies are pre-defined and stored in the system before deployment. When a host or virtual machine is added, the system automatically applies these pre-configured settings, eliminating the need for manual configuration while ensuring consistency and accuracy across the virtual computing environment
2Measurement precision
If manual device location tracking is implemented, then device identification accuracy can be achieved, but the time required to locate devices in large networks increases
Solution Approach 1:
The system implements automatic feedback mechanisms where hosts and virtual machines continuously report their status and location information to the management system. This real-time feedback enables rapid device location and identification without manual intervention, maintaining accuracy while significantly reducing the time required to locate devices
Solution Approach 2:
The patent replaces manual mechanical search methods with automated electronic discovery mechanisms. The auto-discovery system uses network protocols and automated scanning to rapidly identify and locate devices, substituting time-consuming manual processes with efficient automated electronic detection while maintaining precise device identification
3Productivity
If automated auto-discovery is implemented, then deployment speed increases, but the configuration complexity of the system increases
Solution Approach 1:
The auto-discovery system is segmented into modular components that perform specific functions: device detection, information gathering, configuration matching, and deployment coordination. This segmentation allows the system to achieve rapid automated deployment while managing complexity through modular design, where each component handles a specific aspect of the discovery and configuration process
Data Source
AI summary
In a computer-implemented method for automatic network configuration of a pre-configured hyper-converged computing device network configuration information is requested from another pre-configured hyper-converged computing device already configured on a network. The network configuration information is received from the another pre-configured hyper-converged computing device. The network configuration is automatically performed by the pre-configured hyper-converged computing device such that the pre-configured hyper-converged computing device is automatically configured to the network.