Blockchain-Based Distributed Collaborative Computing for Vehicular Digital Twin Network
Lei Liu, Junqi Fu, Jie Feng, Guopeng Wang, Qingqi Pei, Schahram Dustdar
Abstract
Being the main starting point for intelligent transportation systems, internet of vehicles has entered a rapid development period. This motivates a large number of novel vehicular applications with diversified and personalized demands. Distributed collaborative computing provides a promising solution to meet these applications by on-demand resource management, but is faced with tremendous challenges in achieving trusted resource cooperation and accurate decision making. In this paper, we propose a blockchain-based vehicular digital twin architecture for distributed collaborative computing. In this architecture, blockchain facilitates the opening and sharing of vehicular resources, while digital twin enables the accurate management decision. Then, we investigate the computation offloading in blockchain-based vehicular digital twin networks to demonstrate the effectiveness of the proposed architecture. Finally, several important open issues are discussed in detail for further investigation on blockchain-based vehicular digital twin.