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Fog-Mobile Edge Performance Evaluation and Analysis on Internet of Things

Wasswa Shafik, S. Mojtaba Matinkhah, Mohammad Ghasemazade

Abstract


Network analysis and optimization are emerging research that calls for the number of entities like increased availability, resources management, performance analysis, privacy-oriented evaluation among others. The dynamic advancements in technological edges increase availability, connectivity of the devices that provides and controls the network resource management, reduced latency and bandwidth varieties that contribute to the smart innovation including smart city, smart homes, among others. In this paper, we analyze the performance of mobile edge computing of the Internet of things (IoT) that determines the service quality of the network as seen in other computing arenas. More still, we propose a performance model called Erlang Performance Model (EPM) Erlang formulas basing different assumptions during data transmission. The article provides a deep understanding of queuing theories concerning the discipline of First-In-First-Out (FIFO) in mobile edge networks through availing mathematical calculations of virtual parameters. The paper proved that Erlang formulas could be alternatively used in designing performance models as we illustrated. The simulated MATLAB results showed that analyzing the performance creates reduces congestion/ traffic during data transmission and better determination of grade and quality of service to the users and smart communication providers.


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References


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