Fog computing is an emerging model, complementing the cloud computing platform, introduced to support the Internet of Things (IoT) processing requests at the edge of the network. Smart-living IoT scenarios require the execution of multiple processing tasks at the edge of the network and leveraging on the Fog Computing approach results to be a worthwhile solution. Genetic Algorithms (GA) are a heuristic search and optimization class of techniques inspired by natural evolution. We propose two GA-based approaches for optimizing the processing task placement in a fog computing edge infrastructure aiming to support the Smart-living IoT nodes requests. The numerical results obtained in Matlab show that both GA-based approaches allow to maximize the covered areas while minimizing the resource wastage through the minimization of the overlapping areas.

Raheleh Moallemi, A.B. (2019). An Evolutionary-based Algorithm for Smart-living Applications Placement in Fog Networks [10.1109/GCWkshps45667.2019.9024660].

An Evolutionary-based Algorithm for Smart-living Applications Placement in Fog Networks

Arash Bozorgchenani;Daniele Tarchi
2019

Abstract

Fog computing is an emerging model, complementing the cloud computing platform, introduced to support the Internet of Things (IoT) processing requests at the edge of the network. Smart-living IoT scenarios require the execution of multiple processing tasks at the edge of the network and leveraging on the Fog Computing approach results to be a worthwhile solution. Genetic Algorithms (GA) are a heuristic search and optimization class of techniques inspired by natural evolution. We propose two GA-based approaches for optimizing the processing task placement in a fog computing edge infrastructure aiming to support the Smart-living IoT nodes requests. The numerical results obtained in Matlab show that both GA-based approaches allow to maximize the covered areas while minimizing the resource wastage through the minimization of the overlapping areas.
2019
2019 IEEE Globecom Workshops (GC Wkshps)
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Raheleh Moallemi, A.B. (2019). An Evolutionary-based Algorithm for Smart-living Applications Placement in Fog Networks [10.1109/GCWkshps45667.2019.9024660].
Raheleh Moallemi, Arash Bozorgchenani, Daniele Tarchi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/719092
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