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With the continuous improvement of modern network technology, the amount of data in the system is increasing gradually. Traditional big data automatic classification processing system has been unable to meet the needs of users, the software and hardware design are single, there exists large energy consumption, slow speed of classification, long processing time and memory usage rate is high, therefore, automatic classification is proposed based on cloud computing of large data processing system design. Firstly, the hardware structure of the system is designed, which mainly includes data collector, data processor and data automatic storage module, and introduces the structure of each hardware in detail. Then, the data is extracted using the time-domain feature extraction algorithm to realize the software design of data automatic classification and processing. Finally, two kinds of system performance design are compared. The results show that the resources of large data automatic classification and processing system based on cloud computing have low occupancy rate, small memory consumption and large memory of database. The design of this system can not only improve the accuracy of automatic classification of data, but also speed up the classification of data, so that the system has better classification performance.