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In this paper, we propose a design for novel and experimental cloud computingsystems. The proposed system aims at enhancing computational, communicationaland annalistic capabilities of road navigation services by merging severalindependent 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 aglobal generic system. The designed system has been experimented with variousscenarios of video-based road services. Moreover, the associated architecturehas been implemented on a small-scale simulator of an in-vehicle embeddedsystem. The implemented architecture has been experimented in the case of asimulated road service to aid the police agency. The goal of this service is torecognize and track searched individuals and vehicles in a real-time monitoringsystem remotely connected to moving cars. The presented work demonstrates thepotential of our system for efficiently enhancing and diversifying real-timevideo services in road environments.

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