Cloud Manager Visualizations for Provisioning Visibility
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Solution Overview
Problem
Cloud computing platforms often require significant expertise to manually manage and configure, making it complex for users to take advantage of their powerful capabilities, and existing provisioning engines lack visibility into their decision-making processes, frustrating administrators and developers.
Innovation Solution
A cloud manager that generates virtual resource provisioning visualizations, providing graphical representations of the decision-making process to improve visibility and compatibility between cloud endpoints and requirements, thereby simplifying the deployment of virtual resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual management and configuration methods are used, then flexibility and control are maintained, but complexity and expertise requirements increase significantly
Solution Approach 1:
The patent introduces a visualization intermediary layer between the provisioning engine and users. This intermediary translates complex provisioning decisions into graphical representations showing resource allocations, compatibility checks, and deployment pathways. The visualization acts as a mediator that simplifies user interaction while maintaining the full functionality of the underlying complex system.
Solution Approach 2:
The system implements feedback mechanisms by displaying real-time visualization of provisioning decisions and their impacts. Users can see how resource allocations affect compatibility and deployment outcomes, allowing them to adjust parameters and immediately observe the effects. This feedback loop reduces complexity by making the system's behavior transparent and predictable.
2Productivity
If automated provisioning engines are used, then productivity increases, but visibility into decision-making processes decreases
Solution Approach 1:
The patent creates a visual copy or representation of the automated provisioning process. Instead of showing actual internal engine operations, it generates graphical models that replicate and represent the decision-making pathways, resource allocations, and compatibility assessments. This visual copy maintains productivity while restoring visibility into the automated process.
Solution Approach 2:
The visualization system serves as an intermediary that bridges the gap between automated processing and human understanding. It translates the black-box automated decisions into interpretable graphical formats, allowing users to see what the provisioning engine is doing without slowing down the automated process.
3Measurement precision
If detailed provisioning parameters are displayed, then compatibility and precision are improved, but information overload and user frustration increase
Solution Approach 1:
The patent segments the provisioning information into hierarchical levels of detail. The visualization displays key compatibility and precision information prominently while organizing detailed parameters into collapsible sections or separate views. This segmentation allows users to access precise information when needed without being overwhelmed by it during normal operation.
Solution Approach 2:
The system applies local quality by providing different levels of information density in different parts of the interface. Critical compatibility checks and decision points receive detailed visualization, while routine parameters are shown in simplified formats. This localized approach to information quality maintains precision where needed while preserving overall usability.
Data Source
AI summary
Methods, apparatus, systems and articles of manufacture are disclosed to generate virtual resource provisioning visualizations. An example apparatus includes a visualization generator to generate a visualization based on a comparison of first provisioning requirements from a blueprint to parameters associated with the cloud computing environment, the first provisioning requirements associated with the provisioning of the virtual resource to the cloud computing environment, a blueprint controller to adjust one or more of the first provisioning requirements to one or more second provisioning requirements in response to determining that the first provisioning requirements are not satisfied based on the visualization, and a deployment controller to deploy the virtual resource to the cloud computing environment based on the one or more second provisioning requirements.