Multilevel performance scenarios can appear after
operating system failure. Deception can be visible gradually through side-
effects of complicated processes in system environments.
Observers need help to interpret facts and make
decisions based on scenarios. Therefore, system behavior is not predictable
quickly after the breaking down. It requires analysis of source codes for
failure before restarting the system operations.
Observation:
Developers focus on system issues and have the ambition to interpret
behavioral scenarios. The main issues beyond the side- effects reflect the unseen
original problem. Systems Owners may barely target to investigate concealed
issues because of investigation costs and source problems in the context of
Constant Global Variables. Many functional systems are hardly fully optimized
today, and many IT projects fail to achieve their goals.
Observation:
The scenario illustrates a series of data, actions, and events. Each
structure beyond the framework has identification and modifies the history of
certain invisible entities. Observers can recognize two types of scenarios in
the field of their research. These two types are 1) Static and 2) dynamic
scenarios. Static scenarios show data, actions, and events without threads to
Global Variables instances. This type of structure is not sensitive and does
not have multiple variables. An observer can interpret a scenario because the
qualitative pattern does not appear in a diverse range of simulated actions.
Dynamic scenarios are sensitive, contingent, and have multi-threads to
Global Variables. Many observers have a dilemma detecting significant threads
for possible interpretation and analysis. It requires time, capital investment,
and sophisticated methods to analyze data and multi-events. Observers should
identify hierarchy paths and complex threads, which refer to Global Variables
in system environments.