Dezembro, 2025

E. Nascimento, E. Tavares, J. Dantas and P. Maciel, “Performance Evaluation of SDN-Integrated MEC System for 5 G Infrastructure Planning” in IEEE Transactions on Mobile Computing, vol. , no. 01, pp. 1-15, PrePrints 5555, doi: 10.1109/TMC.2025.3641263.

Abstract

Multi-access Edge Computing (MEC) is a key enabler of 5G networks, supporting handling latency, bandwidth, and connectivity requirements. However, integrating MEC with Software-Defined Networking (SDN) introduces significant challenges in resource management, Quality of Service (QoS) assurance, and scalability. Existing performance evaluation methods do not meet the expectations of addressing the complexity and reliability needed for SDN-based MEC systems. This paper proposes a stochastic modeling framework based on Stochastic Petri Nets (SPN) to assess the performance of MEC-SDN architectures. The model captures workload dynamics, system utilization, and failure conditions, providing a comprehensive and scalable performance evaluation tool. The method is validated through a real-world Vehicle-to-Infrastructure (V2I) scenario deployed on a cluster of single-board computers. Experimental results demonstrate up to 99.85% system utilization, low bandwidth consumption, and model validation within a 95% confidence interval. These outcomes confirm the model’s effectiveness in evaluating SDN enabled MEC deployments’ resource allocation and performance.

Authors

Erick Nascimento, Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil
Eduardo Tavares, Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil
Jamilson Dantas, Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil
Paulo Maciel, Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

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