Application-Specific Runtime Environment Provisioning via Dependency Analysis
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Solution Overview
Problem
Current computing systems face inefficiencies due to the need for specific operating system environments and hardware requirements for applications, leading to resource wastage and compatibility issues with general runtime environments.
Innovation Solution
The development of a system that dynamically identifies and selects resources for an application-specific runtime environment based on automated analysis and user input, using repository metadata to optimize resource inclusion and exclusion, thereby reducing resource usage and improving compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a general runtime environment is provided to support multiple applications, then versatility and compatibility are improved, but memory and storage resources are wasted due to inclusion of unnecessary components
Solution Approach 1:
The patent segments the runtime environment into application-specific subsets, creating customized runtime environments for each application rather than providing a complete general runtime environment. This is achieved by analyzing application dependencies and selectively including only the necessary components, libraries, and resources required by each specific application, thereby eliminating waste of memory and storage resources on unused components.
Solution Approach 2:
The patent extracts only the essential components needed by each application from the complete runtime environment. By performing dependency analysis and identifying the minimal set of required libraries, resources, and runtime components, the system extracts and provisions only those specific elements, leaving out unnecessary components that would otherwise consume valuable memory and storage resources.
2Reliability
If all components of a general runtime environment are included, then reliability and completeness are improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary dependency analysis during the application installation or provisioning phase to identify all required runtime components before actually deploying the runtime environment. This advance analysis allows the system to pre-determine the exact set of necessary components, ensuring completeness and reliability while avoiding the complexity of manually configuring or guessing which components are needed.
Solution Approach 2:
The system enables applications to effectively specify their own runtime requirements through automated dependency analysis. The application's executable code and associated metadata self-describe their dependencies on runtime components, allowing the provisioning system to automatically determine the minimal complete set of required components without complex external configuration or manual intervention.
3Adaptability or versatility
If unused components are included in the runtime environment, then compatibility with various applications is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent changes the parameter of runtime environment composition from a static, one-size-fits-all approach to a dynamic, application-specific approach. By varying the set of included components based on each application's specific dependency profile, the system maintains full compatibility support where needed while optimizing resource utilization efficiency by excluding unnecessary components from each customized runtime environment.
4Productivity
If a customized runtime environment is created for each application, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary provisioning system that acts as a mediator between applications and the runtime environment. This intermediary automatically performs dependency analysis, generates customized runtime environment configurations, and manages the provisioning process, thereby enabling efficient resource utilization through customization without requiring direct user intervention or managing the complexity themselves.
Solution Approach 2:
The system leverages self-service mechanisms where applications provide their own dependency information through metadata, manifest files, or automated analysis of their executable code. This allows the provisioning system to automatically generate appropriate customized runtime environments without complex manual configuration, enabling resource optimization while keeping the provisioning process relatively simple through automated self-description.
Data Source
AI summary
Systems and methods of executing and/or provisioning an application in an application specific runtime environment are disclosed. The application specific runtime environment is defined by an application environment specification to include a minimal or reduced set of software resources required for execution of the application. These software resources are optionally stored in a resource repository that includes resources associated with a plurality of operating systems and/or executable applications. Various embodiments of the invention include the development of hierarchical resource metadata configured to characterize the various files, packages and file families included in the resource repository. In some embodiments this metadata is used to select between files and different versions of files when provisioning an application specific runtime environment. Various embodiments of the invention include systems and methods for dynamically and/or manually determining which resources should be included in the provisioning of an executable application.