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This chapter presents a comprehensive simulation-based evaluation of the formal models developed in earlier chapters, validating their practical relevance under dynamic and adverse 5G-IoT conditions. Four architectural variants are tested: Split-Merge (SM), Independent Server Model (ISM), cascaded service systems with queue-based updating, and stochastic update models under cyberattack scenarios. Each model is subjected to diverse workload profiles, including Poisson and BMAP arrivals, and various service time distributions (exponential, Erlang, Coxian, and hyperexponential). The simulations explore key performance indicators such as average response time, buffer overflow probability, synchronisation delay, and resilience to anomalous traffic or degraded operation. The results demonstrate that DC-like architectures are inherently robust, capable of adapting to fluctuating input loads and exhibiting fault tolerance under partial service failure. The simulation also reveals critical thresholds and trade-offs between architectural complexity and performance efficiency. By combining rigorous theoretical models with empirical validation, this chapter closes the methodological loop and provides actionable insights for deploying reliable service infrastructures in emerging 5G-enabled environments.

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Simulation Study of Divide-and-Conquer Models Under 5G Infrastructure Conditions

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  • 发表日期：

    2026年

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  • Viacheslav Kovtun

摘要

This chapter presents a comprehensive simulation-based evaluation of the formal models developed in earlier chapters, validating their practical relevance under dynamic and adverse 5G-IoT conditions. Four architectural variants are tested: Split-Merge (SM), Independent Server Model (ISM), cascaded service systems with queue-based updating, and stochastic update models under cyberattack scenarios. Each model is subjected to diverse workload profiles, including Poisson and BMAP arrivals, and various service time distributions (exponential, Erlang, Coxian, and hyperexponential). The simulations explore key performance indicators such as average response time, buffer overflow probability, synchronisation delay, and resilience to anomalous traffic or degraded operation. The results demonstrate that DC-like architectures are inherently robust, capable of adapting to fluctuating input loads and exhibiting fault tolerance under partial service failure. The simulation also reveals critical thresholds and trade-offs between architectural complexity and performance efficiency. By combining rigorous theoretical models with empirical validation, this chapter closes the methodological loop and provides actionable insights for deploying reliable service infrastructures in emerging 5G-enabled environments.