Automated Software Component Integration in Distributed Control Frameworks

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Solution Overview

Problem

Migrating existing software components in distributed computing environments to a newer control framework is challenging due to the manual and time-consuming process, leading to duplication of components, increased complexity, security issues, and inefficient resource usage.

Innovation Solution

An automated integration process where a controller determines the presence of a flag to initiate the integration of existing software components into the control framework by associating them with complementary resources, either by adjusting parameters or copying data into new components, thereby avoiding duplication and streamlining the migration process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If manual migration process is used to integrate software components into control framework, then integration can be performed, but administrative burden and time consumption increase significantly

Engineering Contradiction:
Improveautomation of integration processVSAvoidtime for migration process
Core Design Contradiction:
Extent of automationVSLoss of time

Solution Approach 1:

The system enables self-service automation where the controller automatically detects software components, determines their integration status, and performs integration actions without requiring manual administrative intervention. The controller monitors for presence of software components and autonomously executes integration logic based on detected states.

Inventive Principle:
Principle #25Self-service

2Stability of the object's composition

If existing software components are not integrated into control framework, then current operations can continue, but component duplication and system complexity increase

Engineering Contradiction:
Improvesystem consistencyVSAvoidsystem complexity
Core Design Contradiction:
Stability of the object's compositionVSDevice complexity

Solution Approach 1:

The controller implements continuous feedback monitoring to detect the presence and state of software components. Based on this feedback, the controller automatically determines whether integration is needed and executes appropriate integration actions, maintaining system consistency without manual intervention.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary detection and assessment of software component integration status before executing integration actions. The controller proactively identifies components that need integration and prepares integration logic in advance, preventing duplication and complexity issues before they occur.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If manual integration process is used, then integration can be achieved, but resource usage efficiency decreases

Engineering Contradiction:
Improveintegration efficiencyVSAvoidcomputational resource usage
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The automated controller performs integration operations autonomously without requiring manual administrative resources. The system self-manages the integration process, reducing the need for human time and effort while optimizing computational resource utilization through automated decision-making and execution.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11550566B2Automatically integrating software components into a control framework in a distributed computing environment
Publication Date: 2023.01.10 RED HAT LLC
  • US11550566B2 patent drawing
  • US11550566B2 patent drawing
  • US11550566B2 patent drawing

AI summary

Software components can be automatically integrated into a control framework in a distributed computing environment. For example, a system can determine that a flag is set in relation to a complementary resource that is monitored by a controller in a distributed computing environment. In response to determining that the flag is set, the system can identify a target software component that is not managed by the controller in the distributed computing environment. The system can then integrate the target software component into a control framework of the distributed computing environment in which the target software component is managed by the controller based on the complementary resource.