Background: With the further development of electric Internet of things (eIoT), IoT devices in the distributed network generate data with different frequencies and types. Objective: Fog platform is located between the smart collected terminal and cloud platform, and the resources of fog computing are limited, which affects the delay of service processing time and response time. Methods: In this paper, an algorithm of fog resource scheduling and load balancing is proposed. First, the fog devices divide the tasks into high or low priority. Then, the fog management nodes cluster the fog nodes through K-mean+ algorithm and implement the earliest deadline first dynamic (EDFD) task scheduling algorithm and De-REF neural network load balancing algorithm. Results: We use tools to simulate the environment, and the results show that this method has strong advantages in -30% response time, -50% scheduling time, delay, -50% load balancing rate and energy consumption, which provides a better guarantee for eIoT. Conclusion: Resource scheduling is important factor affecting system performance. This article mainly addresses the needs of eIoT in terminal network communication delay, connection failure, and resource shortage. And the new method of resource scheduling and load balancing is proposed, The evaluation was performed and proved that our proposed algorithm has better performance than the previous method, which brings new opportunities for the realization of eIoT.

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The development and application of new energy vehicles has always been the focus of the government. As far as the users of new energy vehicles are concerned, the safety and energy-saving effects of operating conditions are of vital importance. Therefore, to fully promote the development of new energy vehicles, we must do a good job in the statistics and processing of new energy real-time vehicle data. This article focuses on the analysis of the effects of distributed storage and computing technology on real-time on-board data processing for new energy vehicles to provide solutions to the difficulties of countries and enterprises in the research and development of new energy vehicles and promote he energy saving of the state and enterprises.

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