With the wide application of intelligent devices, the efficiency and performance requirements of intelligent device management system are increasing, and the traditional centralized architecture faces the problems of data processing bottleneck and system load inequality. Because of its high efficiency, flexibility and scalability, distributed architecture becomes an effective means to solve these problems. This paper discusses the design and application of distributed architecture in intelligent device management, and analyzes the performance optimization strategy. This paper introduces the basic concept of intelligent device management and features of distributed architecture, and analyzes its application in device scheduling, task allocation, security and reliability. Finally, some strategies such as data compression, transmission protocol optimization, efficient data retrieval and indexing, and asynchronous computing are proposed to improve the system performance and response speed. This paper provides a feasible architecture design and optimization scheme for intelligent device management system, which has important application value.

Yajing Cai. Distributed Architecture and Performance Optimization for Smart Device Management. International Journal of Big Data Intelligent Technology (2025), Vol. 6, Issue 2: 130-138. https://doi.org/10.38007/IJBDIT.2025.060214.

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