Edge and Cloud Computing in Smart Cities

Maria Trigka () and Elias Dritsas
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Maria Trigka: Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece
Elias Dritsas: Department of Informatics and Computer Engineering, University of West Attica, 12243 Egaleo, Greece

Future Internet, 2025, vol. 17, issue 3, 1-41

Abstract: The evolution of smart cities is intrinsically linked to advancements in computing paradigms that support real-time data processing, intelligent decision-making, and efficient resource utilization. Edge and cloud computing have emerged as fundamental pillars that enable scalable, distributed, and latency-aware services in urban environments. Cloud computing provides extensive computational capabilities and centralized data storage, whereas edge computing ensures localized processing to mitigate network congestion and latency. This survey presents an in-depth analysis of the integration of edge and cloud computing in smart cities, highlighting architectural frameworks, enabling technologies, application domains, and key research challenges. The study examines resource allocation strategies, real-time analytics, and security considerations, emphasizing the synergies and trade-offs between cloud and edge computing paradigms. The present survey also notes future directions that address critical challenges, paving the way for sustainable and intelligent urban development.

Keywords: edge; cloud computing; smart cities; architectural models (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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