Investigation and implementation of digital software architecture based on internet of things

Abstract

Application systems are becoming increasingly complex, and software system architecture plays an increasingly important role in the software development process. In view of the problems of the traditional software architecture, such as slow data processing speed, poor stability of the architecture and low accuracy of data classification, this paper studied the digital software architecture based on the Internet of Things (IoT) technology, and conducted data pre-processing on the data collected by sensors, mainly including data reading, data cleaning, data transformation and data reduction. Through experiments, it could be found that the accuracy of digital software architecture using data preprocessing for data classification was more than 93.52%, and the average accuracy of 10 experiments was 94.55%. At the same time, the digital software architecture based on the IoT was tested, and it was found that both the execution time and the original memory were better than other digital software architecture. The overall performance of digital software architecture based on the IoT was better.

Keywords

• Digital software architecture
• Internet of things
• Data preprocessing
• Data mining
• Cluster analysis