Supplementary Data and Reproducibility Package for Congestion-Aware Stackelberg Competition Among Fog Service Providers with iFogSim2 Framework Validation

This dataset and reproducibility package accompanies the manuscript “Congestion-Aware Stackelberg Competition Among Fog Service Providers with iFogSim2 Validation”.The deposited materials support the computational and simulation-based validation of a congestion-aware economic model for competitive fog service provision. The study integrates Hotelling spatial differentiation, non-atomic Wardrop equilibrium, M/M/1 queueing, and sequential Stackelberg price competition, and assesses the operational consistency of the resulting equilibrium through discrete-event simulation in iFogSim2.The package includes the consolidated 218-row iFogSim2 validation dataset, containing analytical variables, simulation measurements, latency and queueing metrics, validation indicators, service-level agreement (SLA) measurements, and analytical-versus-simulated error metrics. It also contains a reduced dataset for analysis and plotting, the subset of configurations that do not satisfy the observed strict validation criterion, family-level and global validation summaries, agreement metrics, Bland–Altman statistics, and revised-trace diagnostic files.The reproducibility package additionally provides the validated iFogSim2 Java implementation FogEconomicsIFogSim2StrictMM1V5.java, the MATLAB post-processing and validation script analyze_ifogsim_218_trace_updated.m, and the supplementary instrumentation TailLatencyRecorder.java for recording tuple-level latency samples and directly computing mean latency, p95, p99, and SLA violation rates.The data explicitly distinguish between observed simulation evidence and counterfactual diagnostic analysis. The variable observedValidationPass represents the validation result obtained from the actual iFogSim2 execution, whereas projectedValidationPassAfterRevisedTraceGate represents only a counterfactual diagnostic based on the revised trace-arrival gate and must not be interpreted as a new iFogSim2 simulation run. The corresponding revised-trace diagnostics are documented in replace_with_interarrival_trace_s_validation_summary.csv and trace_validation_old_vs_new.csv.The materials are deposited to support transparency, verification, reuse, and computational reproducibility of the analytical and simulation results reported in the associated manuscript. They may also be useful for research on fog computing, fogonomics, network economics, queueing theory, game-theoretic resource pricing, IoT service provisioning, and simulation-based validation of distributed computing systems.Associated GitHub repository:https://github.com/jsacoto/Principal/tree/main/fog-computing-supplementary-and-dataGitHub snapshot corresponding to this deposit:Commit: 0df995b93b01bd47621677d346da22c7c2faf1a0Research Group: GIHP4C — Cloud Computing, High Performance Computing and Smart CitiesInstitution: Universidad Politécnica Salesiana, Ecuad