Enabling Efficient Emulation of Internet-of-Vehicles on a Single Machine: Practices and Lessons

Xiaoxing Ming, Yicun Duan, Junyu Liu, Zhuoran Bi, Haoxuan Sun, Zilin Song, Xiangjun Peng, and Wangkai Jin

Provided a brief introduction of our emulation platform for Internet-of-Vehicles. Described our designs and cover major details of the prototype implementations. Based on this platform, we leverage a state-of-the-art Deep-Neural-Network application to demystify the impacts under IoV setting. Our preliminary results reveal the insights that, the practicality of novel designs shall consider the impacts in integrating within the Internet-of-Vehicles. Our observations are consistent across a variety of different workloads (and their partitions), and the full paper is expected to complement all our findings and observations.