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arXiv · 1412.6149

Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems

Karim Hammoudi·Nabil Ajam·Mohamed Kasraoui·Fadi Dornaika·Karan Radhakrishnan·Karthik Bandi·Qing Cai·Sai Liu
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Abstract

In this paper, we propose a design for novel and experimental cloud computing systems. The proposed system aims at enhancing computational, communicational and annalistic capabilities of road navigation services by merging several independent technologies, namely vision-based embedded navigation systems, prominent Cloud Computing Systems (CCSs) and Vehicular Ad-hoc NETwork (VANET). This work presents our initial investigations by describing the design of a global generic system. The designed system has been experimented with various scenarios of video-based road services. Moreover, the associated architecture has been implemented on a small-scale simulator of an in-vehicle embedded system. The implemented architecture has been experimented in the case of a simulated road service to aid the police agency. The goal of this service is to recognize and track searched individuals and vehicles in a real-time monitoring system remotely connected to moving cars. The presented work demonstrates the potential of our system for efficiently enhancing and diversifying real-time video services in road environments.

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Karim Hammoudi, Nabil Ajam, Mohamed Kasraoui, Fadi Dornaika, Karan Radhakrishnan, Karthik Bandi, Qing Cai, Sai Liu. 2014-11-25. Design, Implementation and Simulation of a Cloud Computing System for Enhancing Real-time Video Services by using VANET and Onboard Navigation Systems. https://arxiv.org/abs/1412.6149

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