Research on the Synergistic Optimization of Smart City Service Architectures Based on Cloud-Enhanced Distributed Systems

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Gregory K. Marshall
Jeffrey S. Vance

Abstract

This review paper investigates the synergistic optimization of smart city service architectures, focusing on the integration of cloud computing and distributed systems. Smart cities aim to improve the quality of life for their citizens through the innovative use of technology. A critical aspect of achieving this goal is the design and implementation of robust and scalable service architectures. Cloud-enhanced distributed systems offer the potential to create such architectures by leveraging the benefits of both cloud computing (e.g., scalability, cost-effectiveness) and distributed systems (e.g., resilience, low latency). This paper provides a comprehensive overview of existing research in this area. It examines various approaches to optimizing smart city service architectures, including the use of microservices, edge computing, and serverless computing. The paper also identifies key challenges and opportunities for future research, such as the need for improved security, privacy, and interoperability. The primary goal is to provide a valuable resource for researchers and practitioners interested in developing and deploying effective smart city solutions. This review synthesizes current knowledge, identifies research gaps, and proposes directions for future innovation promoting the improvement of smart city infrastructures.

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How to Cite

Research on the Synergistic Optimization of Smart City Service Architectures Based on Cloud-Enhanced Distributed Systems. (2026). Hua Xia Xin Zhi, 2(1), 20-28. https://journals.hubblepress.com/index.php/hxxz/article/view/17

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