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Edge and Cloud Computing in Smart Cities

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Publicado en:Future Internet vol. 17, no. 3 (2025), p. 118
Autor principal: Trigka, Maria
Otros Autores: Dritsas, Elias
Publicado:
MDPI AG
Materias:
Urban environments
Data processing
Communication
Bandwidths
Edge computing
Resource allocation
Cities
Cybersecurity
Architecture
Automation
Privacy
Workloads
Energy consumption
Virtual reality
Smart cities
Quantum computing
Artificial intelligence
Digital twins
Cloud computing
Decision making
Energy management
Blockchain
Energy efficiency
Data storage
Resource utilization
Real time
Acceso en línea:Citation/Abstract
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Resumen: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.
ISSN:1999-5903
DOI:10.3390/fi17030118
Fuente:ABI/INFORM Global