Francisco Airton Silva

About

Francisco Airton Silva is a leading researcher in the performance evaluation of distributed and robotic systems, with a particular focus on the Internet of Robotic Things (IoRT) and cloud-fog-edge computing. His major contributions lie in developing sophisticated queuing network models—such as D/M/c/K/FCFS and M/M/c/K—to analyze and optimize message routing strategies in the IoRT continuum. By mathematically modeling how robotic agents communicate across cloud, fog, and edge layers, Silva’s work provides critical insights for improving latency, throughput, and reliability in Industry 4.0 environments. His most-cited papers, including a 2021 study on routing strategies (9 citations) and a companion comparison of cloud-fog layers (6 citations), have established foundational knowledge for designing efficient, scalable IoRT architectures. Silva’s research directly addresses the challenge of integrating autonomous robots with advanced computing paradigms to maximize factory productivity. His analytical approach, combining queuing theory with real-world robotic constraints, makes his work essential reading for students and engineers seeking to understand performance bottlenecks in next-generation cyber-physical systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Performance Evaluation of Message Routing Strategies in the Internet of Robotic Things Using the D/M/c/K/FCFS Queuing Network

   9 citations · 2021
2. 2
   Internet of Robotic Things: A Comparison of Message Routing Strategies for Cloud-Fog Computing Layers using M/M/c/K Queuing Networks

   6 citations · 2021

Key Collaborators

Contact & Links