DESIGN AND IMPLEMENTATION OF A STORAGE SYSTEM FOR HYBRID BIG DATA OF AUTONOMOUS NETWORKED VEHICLES, 212-221.

Xincan Wang, He Wang, and Shuming Zhao

Keywords

The Internet of Vehicles, hybrid storage, blockchain, GPBFT, Kademlia

Abstract

With the popularisation of autonomous connected vehicles, the growing demand for data exchange and storage urgently requires a decentralised, secure, and efficient storage mechanism. In view of this, this study proposes a hybrid big data storage system based on blockchain and Kademolia technology and applies it to the performance testing of the Internet of Vehicles (IoV) system. The results show that in the CompCars dataset, the proposed method iterated around the 20th time and achieved a fitness value of 99 times. In the comparison of fitting accuracy, at a time of 0.901 s, the fitting accuracy of the research method reached 98.92%. In the throughput results, the maximum throughput value of this method is 405 TPS after reaching a throughput of 450 transactions/s. The above results indicate that the proposed method has higher throughput and can accelerate transaction processing of storage systems with better performance, providing new technical support for optimising hybrid storage systems for autonomous networked vehicles.

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