A Vehicular Cloud Computing Model for Optimizing Cost and Response Time

In recent years, vehicles have made a lot of progress, but not all of their computational capacities have yet been used. Vehicular Cloud Computing (VCC) is a concept that uses this computational capability using the concept of cloud. The cost and applications of any technologies have always been of great importance in its usage. Given the novice concept, as far as the authors know, there is no model that can calculate the cost and response time of the VCC. The topic discussed in this paper is to present a model for VCC with the approach of cost and response time reduction using onboard computational capacities. This model can help to estimate the cost of implementation and various scenarios of VCC. In the model, cost calculations are based on the location of the computational work, the hardware specifications of the computing resources, and the resource priority. The simulation of the proposed model has been done in CloudAnalyst software for different periods, and the results were compared with another reference. The results indicate that the proposed model can show a view of the proposed system with its pros and cons

A Vehicular Cloud Computing Model for Optimizing Cost and Response Time Keywords:

Vehicular Cloud Computing , Vehicular Cloud Computing Simulation , Cloud Computing Simulation , Cost Optimization , CloudAnalyst