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Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios
Souza, Vitor Barbosa Carlos de; Masip Bruin, Xavier; Marín Tordera, Eva; Ramirez Almonte, Wilson; Sánchez López, Sergio
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes
The novel Fog-to-Cloud (F2C) computing paradigm has been recently proposed aiming at the enhanced integration of Fog Computing and Cloud Computing through the coordinated management of underlying resources, taking into account the peculiarities inherent to each computing model, and enabling the parallel and distributed execution of services into distinct fog/cloud resources. Nevertheless, studies on F2C are still premature and several issues remain unsolved yet. For instance, in an F2C scenario service allocation must cope with the specific aspects associated to cloud and fog resource models, requiring distinct strategies to properly map IoT services into the most suitable available resources. In this paper, we propose a QoS-aware service distribution strategy contemplating both service requirements and resource offerings. We model the service allocation problem as a multidimensional knapsack problem (MKP) aiming at an optimal service allocation taking into consideration delay, load balancing and energy consumption. The presented results, demonstrate that the adopted strategy may be applied by F2C computing reducing the service allocation delay, while also diminishing load and energy consumption on cloud and fog resources.
Peer Reviewed
-Àrees temàtiques de la UPC::Energies::Eficiència energètica
-Cloud computing
-Energy conservation
-Resource allocation
-Cloud computing
-Knapsack problems
-Quality of service
-Computació en núvol
-Energia -- Estalvi
Artículo - Versión publicada
Objeto de conferencia
Institute of Electrical and Electronics Engineers (IEEE)
         

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