Modeling and evaluating performances of complex edge computing based systems

Edoardo Cavalieri d’Oro, Simone Geitenes Colombo, Marco Gribaudo, Mauro Iacono, Davide Manca, Pietro Piazzolla · 2017

Edge computing extends cloud computing by providing a subset of computational resources that are close to the application site, lowering the need for bandwidth and augmenting responsiveness. This allows implementing cloud benefits in critical applications bound to a physical location, provided that a correct distribution between edge and cloud is applied. To achieve this purpose, a performance evaluation of the architecture is needed. In this paper we present a queuing networks based modeling approach for complex critical edge computing based systems, applied to a support system for accident management teams.

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