Container Provisioning via Communication Pattern Analysis
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Solution Overview
Problem
Manual migration of existing applications from VM-based environments to container-based environments is complex and requires specialized knowledge, especially for composite applications like cluster-based software, where decisions on container packaging are intricate.
Innovation Solution
Automated analysis of application components and their relationships to generate a containerization plan, creating appropriate containers and wiring them together based on the application layout, with the option to update and manage container images in a repository for provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated containerization planning is implemented, then migration complexity is reduced and productivity improves, but the system requires advanced analysis capabilities and processing power
Solution Approach 1:
The system performs self-service by automatically analyzing application components, determining communication patterns, and generating containerization plans without requiring manual intervention from migration specialists. The automated analysis engine examines application layouts, identifies software components, and creates packaging decisions autonomously, reducing dependency on human expertise while improving migration efficiency.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational analysis. Instead of migration specialists manually examining application components and communication patterns, the system uses automated analysis engines that process application layouts, determine component relationships, and generate containerization plans through computational methods, thereby reducing migration complexity and time.
2Ease of operation
If container packaging decisions are automated, then ease of operation improves, but measurement precision of communication patterns is required
Solution Approach 1:
The system performs preliminary analysis of communication patterns between software components before generating containerization plans. By examining application layouts and determining communication relationships in advance, the system gathers necessary measurement data about component interactions, which then informs automated packaging decisions without requiring manual intervention during the actual migration process.
Solution Approach 2:
The automated analysis engine uses feedback from analyzing communication patterns to refine containerization decisions. The system examines how software components interact, uses this information to determine optimal packaging configurations, and adjusts containerization plans based on the measured communication requirements, thereby achieving both ease of operation and measurement precision.
3Manufacturing precision
If communication patterns are analyzed to determine containerization plans, then manufacturing precision of container packaging improves, but loss of time for analysis increases
Solution Approach 1:
The analysis process is segmented into distinct phases: identifying software components, determining communication patterns, and generating containerization plans. This segmentation allows the system to process complex applications in manageable steps, improving manufacturing precision of container packaging while managing analysis time through structured, modular processing of application information.
Solution Approach 2:
The system performs preliminary identification and categorization of software components before conducting detailed communication pattern analysis. By pre-processing application layouts and organizing component information in advance, the system reduces the time required for subsequent analysis while maintaining high precision in container packaging decisions.
Data Source
AI summary
Embodiments relate to container migration and provisioning. An aspect includes receiving a request to migrate a composite application to a container-based environment. Another aspect includes determining a plurality of software components that make up the composite application. Another aspect includes determining communications patterns between the plurality of software components. Another aspect includes determining a containerization plan for the composite application based on the determined communications patterns. Another aspect includes creating a plurality of containers, and communications channels between the plurality of containers, for the software components of the composite application based on the containerization plan.