Regional Financial Data Processing Based on Distributed Decoding Technology

Abstract

Aiming at the problems of low storage efficiency, small storage space, and poor stability of traditional financial data storage systems, a dynamic and secure financial data storage system based on distributed decoding is designed. The system uses a cloud security storage service system to store a large number of financial data obtained from the sensing layer and achieve the reasonable scheduling of financial dynamic cloud data through the constraint software function. In addition, a distributed security computing scheme based on hierarchical coding is proposed, and the influence of different subtask sizes and different computing layers on the scheme is analyzed. The results show that the distributed security computing scheme based on hierarchical coding can significantly reduce the completion time of the overall computing task and enhance the stability of dynamic financial data storage. This system has a good storage performance of financial big data, and its efficiency is good, which provides strong support for the financial cause of our country.