Multilayer Architecture Model for Mobile Cloud Computing Paradigm
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http://hdl.handle.net/10045/88395
Título: | Multilayer Architecture Model for Mobile Cloud Computing Paradigm |
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Autor/es: | Mora, Higinio | Mora Gimeno, Francisco José | Signes Pont, María Teresa | Volckaert, Bruno |
Grupo/s de investigación o GITE: | Informática Industrial y Redes de Computadores |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Tecnología Informática y Computación |
Palabras clave: | Mobile Cloud Computing | Computational model | Multilayer architecture |
Área/s de conocimiento: | Arquitectura y Tecnología de Computadores |
Fecha de publicación: | 11-feb-2019 |
Editor: | Hindawi Publishing Corporation |
Cita bibliográfica: | Complexity. 2019, Volume 2019, Article ID 3951495, 13 pages. doi:10.1155/2019/3951495 |
Resumen: | Mobile Cloud Computing is one of today's more disruptive paradigms of computation due to its effects on the performance of mobile computing and the development of Internet of Things. It is able to enhance the capabilities of devices by outsourcing the workload to external computing platforms deployed along the network, such as cloud servers, cloudlets, or other edge platforms. The research described in this work presents a computational model of a multilayer architecture for increasing the performance of devices using the Mobile Cloud Computing paradigm. The main novelty of this work lies in defining a comprehensive model where all the available computing platforms along the network layers are involved to perform the outsourcing of the application workload. This proposal provides a generalization of the Mobile Cloud Computing paradigm which allows handling the complexity of scheduling tasks in such complex scenarios. The behaviour of the model and its ability of generalization of the paradigm are exemplified through simulations. The results show higher flexibility for making offloading decisions. |
Patrocinador/es: | This work was supported by the Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF), under Project CloudDriver4Industry TIN2017-89266-R, and by the Conselleria de Educación, Investigación, Cultura y Deporte, of the Community of Valencia, Spain, within the program of support for research under Project AICO/2017/134. |
URI: | http://hdl.handle.net/10045/88395 |
ISSN: | 1076-2787 (Print) | 1099-0526 (Online) |
DOI: | 10.1155/2019/3951495 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2019 Higinio Mora et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1155/2019/3951495 |
Aparece en las colecciones: | INV - AIA - Artículos de Revistas INV - I2RC - Artículos de Revistas |
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2019_Higinio-Mora_etal_Complexity.pdf | 1,97 MB | Adobe PDF | Abrir Vista previa | |
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