This work presents a methodological framework for comparative evaluation of concurrency execution models in modern programming languages, using a parliamentary voting system as a representative case study. Three concurrency paradigms were implemented and evaluated: native operating system threads (C/Pthreads), cooperative concurrency based on coroutines (Python/asyncio), and goroutines with channel communication (Go). The methodology includes rigorous statistical analysis with non-parametric tests, multidimensional system resource evaluation, and empirical validation under differentiated I/O-bound and CPU-bound workloads. Results demonstrate that Go provides optimal performance for intensive I/O-bound workloads (global score 1.84 vs 3.36 for Python asyncio), while C maintains supremacy in computeintensive scenarios. Quantitative criteria for concurrency technology selection are established based on workload characteristics and system resource constraints.