Today sensing resources are widely increased in terms of vehicles and it affects the cloud computing systems. This technology is used for predicting traffic and for road safety. These systems usually share resources and collaborate with sensing devices for processing data and propagate results. In this paper we proposed Vehicular cloud based fault tolerance mechanism that considers cost matrix and dynamic fault tolerance. The allocation of resources depends critically on the cost associated with virtual machine. It considers exponential residency of VC and execution time along with bandwidth utilization. Bandwidth consumption and cost of execution is reduced greatly by the effect of proposed mechanism.

Vehicular Cloud, Cloud computing, Fault tolerance, Resource scheduling

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