Semantic Link-Based Application Resource Provisioning
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Solution Overview
Problem
Complex software products face challenges in deployment due to inadequate description of execution requirements, leading to configuration complexities across various hardware nodes with different configuration parameters, necessitating a method for optimized automated installation.
Innovation Solution
A method utilizing semantic analysis of links to provision application resources, where applications are divided into separate resources linked by semantic links, configured based on user requirements, and assembled into a Virtual Environment (VM) for automated deployment, employing a hierarchical tree algorithm to ensure compliance with dependencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If complex software products are deployed across multiple hardware nodes with various configuration parameters, then the application can run in diverse execution environments, but the configuration complexity increases significantly requiring hundreds of pages of deployment instructions
Solution Approach 1:
The application is divided into separate deployable units called 'resources' that can be independently configured and deployed. Each resource represents a modular component with its own configuration parameters, allowing the system to handle complexity through division while maintaining adaptability across different execution environments.
Solution Approach 2:
The system automatically adjusts configuration parameters based on the target execution environment by analyzing hardware node specifications and transforming high-level deployment descriptors into environment-specific configuration settings, eliminating the need for manual configuration adjustments across diverse platforms.
2Ease of operation
If manual configuration instructions are provided for each component, then deployment can be performed, but the time and effort required for deployment increases significantly
Solution Approach 1:
The deployment system automatically performs configuration tasks by analyzing resource dependencies and executing provisioning operations without requiring manual intervention. The system self-configures components based on deployment descriptors and environment analysis, eliminating the time-consuming process of following hundreds of pages of instructions while ensuring proper configuration.
Solution Approach 2:
Configuration templates and deployment descriptors are prepared in advance, capturing all necessary configuration parameters and dependencies before deployment. This preliminary preparation allows the system to automatically execute the configured deployment plan across target environments without requiring real-time manual configuration decisions.
3Reliability
If comprehensive configuration rules are defined for all components, then deployment compliance can be ensured, but the complexity of creating and maintaining these rules increases
Solution Approach 1:
A universal configuration framework and standardized resource descriptors are implemented that can accommodate multiple component types and execution environments through a common syntax and semantics. This universal approach ensures configuration compliance across diverse scenarios while avoiding the need to maintain separate complex rule sets for each component type.
Solution Approach 2:
An intermediary provisioning system acts as a mediator between high-level deployment descriptors and low-level component configurations. This intermediary automatically translates abstract resource definitions into environment-specific configurations, ensuring compliance with configuration rules while shielding users from the complexity of defining and maintaining detailed configuration rules for each component.
Data Source
AI summary
A method for provisioning application resources using semantic links is provided. Each application is divided into a set of separate resources corresponding to business logic linked to each other by semantic links. The application is configured based on user requirements. The provider assembles an application provisioning package, including creating a Virtual Environment (e.g., VM) on a customer site and launching an application instance on the VM based on required configuration determined by application resources and the semantic links required by these resources. A provisioning algorithm is implemented as a hierarchical tree. A root tree resource (object) is created. All relationships (semantic links) are determined. Existing linked objects are found and not yet existing ones are determined. The tree branch is created not further than one a link from a non-existent object. The leaf nodes of the tree are existing objects or objects that do not have the required links.