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.

Modeling and evaluating performances of complex edge computing based systems: A firefighting support system case study

CAVALIERI D'ORO, EDOARDO;Colombo, Simone;Gribaudo, Marco;Manca, Davide;Piazzolla, Pietro
2017

Abstract

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.
ACM International Conference Proceeding Series
9781450363464
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1086387
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