Research on Fault Tolerance Strategy Based on Two Level Checkpoint Server in Autonomous Vehicular Cloud

With the continuous development of Vehicular Ad-hoc Network and Cloud Computing, the concept of Autonomous Vehicular Cloud has emerged. In the highway scenario, Autonomous Vehicular Cloud has high dynamic and mobility and the node resources can be used for a short time, which brings great challenges to the use of resources. In order to improve the efficiency of computing resources, the introduction of checkpoint is an effective fault tolerance strategy. However, the existing checkpoint fault tolerance strategy are still imperfect in Autonomous Vehicular Cloud completion rate is not considered. Therefore, on the basis of existing research, this paper propose a fault tolerance strategy based on two level checkpoint server to improve the job completion rate under different job sizes. This paper uses the Optimized Network Engineering Tools (OPNET) to simulate and evaluate the strategy proposed. The evaluation shows that the strategy that proposed can improve the job completion rate effectively on the condition of more job size in Autonomous Vehicular Cloud of the highway scenario.