Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs
Current approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of collaborator nodes (CNs). In the most sophisticated app...
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doaj-176c7572779a439eb2380d5a23d3cd112020-11-25T02:14:51ZengHindawi-WileyJournal of Advanced Transportation0197-67292042-31952019-01-01201910.1155/2019/35482133548213Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETsEsteban Fernando Ordóñez-Morales0Martín López-Nores1Yolanda Blanco-Fernández2Efren Patricio Reinoso-Mendoza3Jack Fernando Bravo-Torres4José Víctor Saiáns-Vázquez5José Juan Pazos-Arias6Manuel Ramos-Cabrer7Alberto Gil-Solla8Universidad Politécnica Salesiana, Calle Vieja 12-30 y Elia Liut, Cuenca, EcuadorAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainUniversidad Politécnica Salesiana, Calle Vieja 12-30 y Elia Liut, Cuenca, EcuadorUniversidad Politécnica Salesiana, Calle Vieja 12-30 y Elia Liut, Cuenca, EcuadorAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainAtlantic Research Center for Information and Communication Technologies (AtlantTIC), University of Vigo, SpainCurrent approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of collaborator nodes (CNs). In the most sophisticated approaches proposed for vehicular scenarios, the collaborators are nearby vehicles that must remain together near the application node because the augmentation service is interrupted when they move apart. This leads to disruption in the execution of the applications and consequently impoverishes the mobile users’ experience. This paper describes a CMA approach that is able to restore the augmentation service transparently when AppNs and CNs separate. The functioning is illustrated by a NaaS model where the AppNs access web contents that are collaboratively downloaded by a set of CNs, exploiting both roadside units and opportunistic networking. The performance of the resulting approach has been evaluated via simulations, achieving promising results in terms of number of downloads, average download times, and network overhead.http://dx.doi.org/10.1155/2019/3548213 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Esteban Fernando Ordóñez-Morales Martín López-Nores Yolanda Blanco-Fernández Efren Patricio Reinoso-Mendoza Jack Fernando Bravo-Torres José Víctor Saiáns-Vázquez José Juan Pazos-Arias Manuel Ramos-Cabrer Alberto Gil-Solla |
spellingShingle |
Esteban Fernando Ordóñez-Morales Martín López-Nores Yolanda Blanco-Fernández Efren Patricio Reinoso-Mendoza Jack Fernando Bravo-Torres José Víctor Saiáns-Vázquez José Juan Pazos-Arias Manuel Ramos-Cabrer Alberto Gil-Solla Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs Journal of Advanced Transportation |
author_facet |
Esteban Fernando Ordóñez-Morales Martín López-Nores Yolanda Blanco-Fernández Efren Patricio Reinoso-Mendoza Jack Fernando Bravo-Torres José Víctor Saiáns-Vázquez José Juan Pazos-Arias Manuel Ramos-Cabrer Alberto Gil-Solla |
author_sort |
Esteban Fernando Ordóñez-Morales |
title |
Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs |
title_short |
Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs |
title_full |
Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs |
title_fullStr |
Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs |
title_full_unstemmed |
Sporadic Cloud-Based Mobile Augmentation on the Top of a Virtualization Layer: A Case Study of Collaborative Downloads in VANETs |
title_sort |
sporadic cloud-based mobile augmentation on the top of a virtualization layer: a case study of collaborative downloads in vanets |
publisher |
Hindawi-Wiley |
series |
Journal of Advanced Transportation |
issn |
0197-6729 2042-3195 |
publishDate |
2019-01-01 |
description |
Current approaches to Cloud-based Mobile Augmentation (CMA) leverage (cloud-based) resources to meet the requirements of rich mobile applications, so that a terminal (the so-called application node or AppN) can borrow resources lent by a set of collaborator nodes (CNs). In the most sophisticated approaches proposed for vehicular scenarios, the collaborators are nearby vehicles that must remain together near the application node because the augmentation service is interrupted when they move apart. This leads to disruption in the execution of the applications and consequently impoverishes the mobile users’ experience. This paper describes a CMA approach that is able to restore the augmentation service transparently when AppNs and CNs separate. The functioning is illustrated by a NaaS model where the AppNs access web contents that are collaboratively downloaded by a set of CNs, exploiting both roadside units and opportunistic networking. The performance of the resulting approach has been evaluated via simulations, achieving promising results in terms of number of downloads, average download times, and network overhead. |
url |
http://dx.doi.org/10.1155/2019/3548213 |
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