Model experiment data and Python code for fault-tolerance information technology in multi-level information systems

This dataset contains the Python source code and simulation data used in the model experiment for evaluating an information technology for ensuring fault tolerance of multi-level information systems. The experiment includes four disturbance scenarios: resource overload, component failure or degradation, mixed disturbances, and mixed disturbances under constrained resources. Three variants are compared: inter-level dynamic load redistribution, adaptive resource reservation, and the proposed information technology. Each scenario contains 1,000 independent realizations for each compared variant. The simulation uses a fixed random seed (20260807) and a maximum of three technological cycles per realization. The repository includes run-level data, cycle-level logs, scenario-level and overall summaries, and the complete simulation configuration. All numerical distributions and action-effect coefficients are explicit assumptions of the model experiment and do not represent empirical measurements. The included Python script reproduces the deposited datasets and the graphical results reported in the associated study.