Multilayer Architecture Model for Mobile Cloud Computing Paradigm

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/88395
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Title: Multilayer Architecture Model for Mobile Cloud Computing Paradigm
Authors: Mora, Higinio | Mora Gimeno, Francisco José | Signes Pont, María Teresa | Volckaert, Bruno
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Mobile Cloud Computing | Computational model | Multilayer architecture
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 11-Feb-2019
Publisher: Hindawi Publishing Corporation
Citation: Complexity. 2019, Volume 2019, Article ID 3951495, 13 pages. doi:10.1155/2019/3951495
Abstract: 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.
Sponsor: 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
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 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.
Peer Review: si
Publisher version: https://doi.org/10.1155/2019/3951495
Appears in Collections:INV - I2RC - Artículos de Revistas

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