Similarity Levels Indicate the Integration Levels

Systems Owners can determine System-level integration by comparing group activity behaviors, multi-process performance, and algorithm parameters in entire subcomponents. The controller can measure periodic performance reviews and capture divergences among them. 

The value divergence suggests a discrepancy between two similar subcomponents with frequent performance modes, activity behavior, and algorithm parameters in system networks. More similarity in typical performances, activity behaviors, and algorithm parameters implies high-level integration and less similarity suggests low-level integration.

 

Observation: 

The system-level integration allows and designates the levels of interaction between internal resources and external forces. It ensures process reliability in system environments.

Global Codes Articulate for Synergistic Integration

Multiple instances can run between synergistic integrations and interactions. Each occasion has a particular characteristic, defining information and efficient responsibility-sharing between the two systems. Global variables define shared responsibilities in system integrations. One System Framework would diminish in performance and move gradually out of integration. However, both system frameworks had the same genetic structure and power initially. The controller must modify and optimize Global Variables when a new instance in system integration is created between two systems. System Universal Codes and communications optimize according to circumstances between two systems integration. System relationships and shared responsibilities need to be articulated in Global Variables before the evolution of system integration patterns.