Similarity Levels Indicate the Integration Levels

Systems owners can determine the level of system integration by comparing group activity behaviors, multi-process performance, and algorithm parameters across various subcomponents. Controllers can measure periodic performance reviews and identify divergences among them. A value divergence indicates a discrepancy between two similar subcomponents regarding performance modes, activity behavior, and algorithm parameters within system networks. More significant similarity in typical performances, activity behaviors, and algorithm parameters implies a high level of integration, while lesser similarity indicates a low level of integration.

Observation:

System-level integration defines the interaction levels between internal resources and external forces, ensuring process reliability within system environments.

Global Codes Articulate for Synergistic Integration

Multiple instances can operate within synergistic integrations and interactions. Each instance has a distinct characteristic, defining the flow of information and the efficient sharing of responsibilities between the two systems. Global variables establish the principle of shared responsibilities and accountabilities in system integrations. Initially, both system frameworks possess the same genetic structure and strength functionalities, but one may eventually move out of integration.

To maintain optimal performance, the controller must modify and optimize global variables whenever a new instance of system integration is created. System universal codes and communication protocols should be adjusted according to the specific circumstances of the integration process of the two systems. Before developing system integration, the global variables must clearly define the relationships, common resources, and shared responsibilities between systems in detail.