Virtualization Manager Out-of-Sync Network Parameter Validation
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Solution Overview
Problem
In virtualized environments, out-of-sync networks are excluded from management scope due to parameter mismatches, preventing administrators from re-configuring or validating these networks, leading to resource wastage and operational inefficiencies.
Innovation Solution
A system and method where a virtualization manager detects out-of-sync networks by comparing logical network parameters with predefined definitions, presents a GUI for administrators to validate or sync parameters, and allows continued management even if parameters differ from definitions, using an out-of-sync network agent to monitor and re-configure networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If out-of-sync networks are excluded from management scope due to parameter mismatches, then network definition integrity is maintained, but administrators cannot re-configure or validate these networks leading to resource wastage
Solution Approach 1:
The system segments network parameters into two categories: critical parameters that must match the network definition (maintaining integrity) and non-critical parameters that can differ (allowing flexibility). This segmentation allows the network to remain manageable while preserving definition integrity for essential parameters.
Solution Approach 2:
The system changes the state of parameter validation from binary (all-or-nothing sync) to graduated (critical vs. non-critical). By applying different validation rules to different parameter types, the system maintains reliability for critical parameters while improving productivity by allowing non-critical parameter deviations.
2Stability of the object's composition
If strict parameter matching is enforced for all networks, then network consistency is maintained, but valid parameter variations are blocked causing operational inefficiencies
Solution Approach 1:
The system applies different validation qualities to different parameters within the same network. Critical parameters enforce strict matching for consistency, while non-critical parameters allow variations for adaptability. This local differentiation resolves the contradiction between uniform consistency and necessary flexibility.
Solution Approach 2:
The validation rules are made dynamic by allowing administrators to specify which parameters are critical and which are non-critical. This dynamic configuration enables the system to adapt validation strictness based on operational needs while maintaining overall network consistency.
3Measurement precision
If out-of-sync networks are excluded from management, then parameter accuracy is ensured, but resource wastage occurs as these networks cannot be re-configured or validated
Solution Approach 1:
The system extracts non-critical parameters from the strict validation requirement, separating them from critical parameters. This extraction allows networks with non-critical parameter deviations to remain in the management scope, preventing resource wastage while maintaining accuracy for critical parameters.
Solution Approach 2:
The system introduces an intermediary validation layer that distinguishes between critical and non-critical parameters. This intermediary mechanism allows partial parameter mismatches without completely excluding networks from management, thereby reducing resource wastage while preserving measurement precision for essential parameters.
Data Source
AI summary
A system and method of discovering and mitigating out-of-sync network parameters. The method may include receiving, via a graphical user interface (GUI), a confirmation of validity of a value for a parameter of a set of parameters of a logical network associated with a host computing system. The method may also include setting, by a processing device, a validity attribute of the logical network responsive to ascertaining validity of remaining parameters of the set of parameters.