Physical Model-Based Infrastructure Provisioning
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Solution Overview
Problem
Customers of network-based computing service providers face significant challenges in defining and provisioning the infrastructure for their applications, requiring substantial manual technical effort and being costly and time-consuming, which acts as a barrier to utilizing these services.
Innovation Solution
A physical model-based approach where users assemble components to represent resources and connections, generating infrastructure data that is used to create configuration data for provisioning resources within a service provider network, allowing for automated provisioning and scaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual technical effort is used to define infrastructure resources and interactions, then customization and control are improved, but time consumption and cost increase
Solution Approach 1:
The patent uses physical model blocks as tangible copies representing virtual infrastructure resources. Users assemble physical blocks to define resources and interactions, which are then automatically translated into configuration data for cloud infrastructure provisioning. This copying approach maintains full customization capability while eliminating manual technical effort and time consumption.
Solution Approach 2:
The physical model blocks serve as an intermediary between the user and the complex cloud infrastructure configuration system. The blocks provide a simplified interface that translates user intentions into detailed configuration data, eliminating the need for users to directly engage with complex technical provisioning processes.
2Manufacturing precision
If manual technical effort is used to define infrastructure resources and interactions, then precision and control are improved, but complexity of the process increases
Solution Approach 1:
The patent segments the complex infrastructure definition process into discrete physical model blocks, each representing a specific resource or interaction type. Users assemble these segmented blocks to define their infrastructure, which simplifies the overall process while maintaining precision through the structured nature of the blocks and their automatic translation into configuration data.
3Loss of time
If automated provisioning is implemented, then time consumption and cost are reduced, but ease of operation may be compromised
Solution Approach 1:
The system enables self-service by allowing users to independently assemble physical model blocks to define their infrastructure needs. The automated provisioning system then processes these models and provisions resources without requiring users to navigate complex technical interfaces or procedures, simultaneously improving ease of operation and reducing time consumption.
Data Source
AI summary
Functionality is disclosed herein for utilizing a physical model to define infrastructure associated with the service provider network or other networks. The model is analyzed to identify resources represented by the physical model as well as any connections between the resources. Based upon the analysis, configuration data that describes the configuration of the resources within the service provider network may be generated and used to perform one or more actions. For example, the configuration data might be used to generate a deployment template and/or used to provision the resources within the service provider network or other networks. After provisioning, the model may show information relating to the operation of the resources within the network.