Abstract
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.
Highlights
The incorporation of on-board units (OBUs) into vehicles allows envisaging advanced information services grounded on vehicle-to-vehicle communications and the possibility of accessing the Internet via roadside infrastructure
In our case the problems stemmed from the mobility are managed by a virtualization layer named VaNetLayer, which is a cluster-based approach where the mobile nodes collaboratively create an infrastructure of static virtual nodes (VNs) to ease the routing problem and the maintenance of Persistent State Information (PSI) in the area covered by vehicular ad hoc network (VANET), notwithstanding the mobility of the real physical nodes (PNs)
In this paper we have presented an approach to Cloud-based Mobile Augmentation (CMA) that enables execution of intensive-resource applications in a individual content download (ICD) 6.25
Summary
The incorporation of on-board units (OBUs) into vehicles allows envisaging advanced information services grounded on vehicle-to-vehicle communications and the possibility of accessing the Internet via roadside infrastructure. Most of approaches resort to Mobile Cloud Computing (MCC) to bring rich computational resources to mobile users, and to Vehicular Cloud Computing (VCC) when the augmentation resources are lent by other vehicles within a vehicular ad hoc network (VANET) [5] Both paradigms are under the umbrella of the so-called Cloud-based Mobile Augmentation (CMA) where a set of nodes (hereafter called collaborator nodes or CNs) lend their own resources to augment the capabilities of the socalled application node (AppN). We contribute with a new hybrid S-CMA approach for the deployment of a NaaS model for collaborative download of web contents in VANETs, working on the top of virtualization mechanisms that hide the complexity derived from the mobility of the augmentation cloud, which is an issue that, to the best of our knowledge, remains unresolved in the literature.
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