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Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios
dc.contributor.author | Souza, Vitor Barbosa |
dc.contributor.author | Masip Bruin, Xavier |
dc.contributor.author | Marín Tordera, Eva |
dc.contributor.author | Ramirez Almonte, Wilson |
dc.contributor.author | Sánchez López, Sergio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
dc.date.accessioned | 2018-01-08T14:44:02Z |
dc.date.issued | 2016 |
dc.identifier.citation | Souza, V., Masip, X., Marin, E., Ramirez, W., Sanchez, S. Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios. A: IEEE Global Communications Conference. "2016 IEEE Global Communications Conference (GLOBECOM): proceedings, Washington, DC USA 4-8 December 2016". Washington, DC: Institute of Electrical and Electronics Engineers (IEEE), 2016. |
dc.identifier.isbn | 9781509013289 |
dc.identifier.uri | http://hdl.handle.net/2117/112464 |
dc.description.abstract | 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. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.subject | Àrees temàtiques de la UPC::Energies::Eficiència energètica |
dc.subject.lcsh | Cloud computing |
dc.subject.lcsh | Energy conservation |
dc.subject.other | Resource allocation |
dc.subject.other | Cloud computing |
dc.subject.other | Knapsack problems |
dc.subject.other | Quality of service |
dc.title | Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios |
dc.type | Conference report |
dc.subject.lemac | Computació en núvol |
dc.subject.lemac | Energia -- Estalvi |
dc.contributor.group | Universitat Politècnica de Catalunya. CRAAX - Centre de Recerca d'Arquitectures Avançades de Xarxes |
dc.identifier.doi | 10.1109/GLOCOM.2016.7842341 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7842341/ |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 21682989 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Souza, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S. |
local.citation.contributor | IEEE Global Communications Conference |
local.citation.pubplace | Washington, DC |
local.citation.publicationName | 2016 IEEE Global Communications Conference (GLOBECOM): proceedings, Washington, DC USA 4-8 December 2016 |