Edge and Cloud Computing in Smart Cities
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| Publicado no: | Future Internet vol. 17, no. 3 (2025), p. 118 |
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| Autor principal: | |
| Outros Autores: | |
| Publicado em: |
MDPI AG
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| Assuntos: | |
| Acesso em linha: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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MARC
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| 024 | 7 | |a 10.3390/fi17030118 |2 doi | |
| 035 | |a 3181454084 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 231464 |2 nlm | ||
| 100 | 1 | |a Trigka, Maria | |
| 245 | 1 | |a Edge and Cloud Computing in Smart Cities | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a 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. | |
| 653 | |a Urban environments | ||
| 653 | |a Data processing | ||
| 653 | |a Communication | ||
| 653 | |a Bandwidths | ||
| 653 | |a Edge computing | ||
| 653 | |a Resource allocation | ||
| 653 | |a Cities | ||
| 653 | |a Cybersecurity | ||
| 653 | |a Architecture | ||
| 653 | |a Automation | ||
| 653 | |a Privacy | ||
| 653 | |a Workloads | ||
| 653 | |a Energy consumption | ||
| 653 | |a Virtual reality | ||
| 653 | |a Smart cities | ||
| 653 | |a Quantum computing | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Digital twins | ||
| 653 | |a Cloud computing | ||
| 653 | |a Decision making | ||
| 653 | |a Energy management | ||
| 653 | |a Blockchain | ||
| 653 | |a Energy efficiency | ||
| 653 | |a Data storage | ||
| 653 | |a Resource utilization | ||
| 653 | |a Real time | ||
| 700 | 1 | |a Dritsas, Elias | |
| 773 | 0 | |t Future Internet |g vol. 17, no. 3 (2025), p. 118 | |
| 786 | 0 | |d ProQuest |t ABI/INFORM Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3181454084/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3181454084/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3181454084/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch |