Edge Computing Resource Optimal Allocation Method Based on Blockchain Technology

Abstract

An edge computing resource optimal allocation approach based on blockchain technology is suggested to achieve efficient and safe allocation of edge computing resources. The edge computing resource optimal allocation approach based on priority task is utilized in the method to reduce calculation time and energy consumption while achieving resource optimal allocation based on work priority. In the resource allocation, the resource privacy protection method based on private blockchain is adopted to ensure the resource security in the resource allocation for edge computing. The proposed strategy considerably improves the efficiency of edge computing in resource allocation, according to the experimental results. In comparison with the results before using the method, the energy consumption after using the method is reduced by at least 13 J. The safety coefficient of the optimal allocation of the edge computing resources is as high as 0.95. The time consumption of edge computing resource allocation of this method is shorter. Therefore, the method can quickly adapt to the increase of data volume in comparison with the similar methods, so as to adjust the allocation for edge computing resources at the fastest speed, and achieve the optimal allocation of edge computing resources.