Design of an Intelligent IoT Platform Based on the Synergy of Edge Computing and Cloud Computing

DOI: https://doi.org/10.62517/jbdc.202601104

Author(s)

Jinchuan Wei*, Ming Ni, Qiaojin Guo, Zhiwei Yu, Suhang Liu

Affiliation(s)

Nanjing Research Institute of Electronic Engineering, Nanjing, Jiangsu, China *Corresponding Author

Abstract

This paper addresses the massive data processing challenges brought about by the rapid expansion of the Internet of Things (IoT), focusing on the increasingly prominent limitations of traditional cloud computing (CC) models in areas such as real-time response, network bandwidth, and data privacy. To systematically address these issues, this paper aims to design an intelligent IoT platform architecture based on the collaboration of edge computing (EC) and CC. The research employs a systematic design approach, proposing a three-layer overall architecture comprising a "device and edge layer, network transmission layer, and CC center layer," and elaborates on its core workflow of "edge-cloud" vertical collaboration and "cloud-edge" horizontal offloading. Through the design of key functional modules and the analysis of typical application scenarios, the paper demonstrates that the platform can effectively integrate the real-time processing capabilities of the edge side with the deep intelligence advantages of the cloud. The research results show that this collaborative architecture has significant value in ensuring low-latency response, optimizing bandwidth costs, enhancing system reliability, and achieving continuous evolution of global intelligence. This research provides a clear and feasible design reference for building efficient, reliable, and secure next-generation IoT systems, and has positive implications for promoting the practical application and industrial development of related technologies.

Keywords

Edge Computing; Cloud Computing; Internet of Things; Platform Architecture; Collaborative Design

References

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