Cloud Computing and Edge Intelligence for Next-Generation Smart Cities

Eric Horvitz

Cloud Computing and Edge Intelligence for Next-Generation Smart Cities

Author(s)	Eric Horvitz
Country	United States
Abstract	The rapid growth of urban populations and the increasing complexity of modern cities have accelerated the adoption of intelligent digital technologies for efficient urban management. Cloud Computing and Edge Intelligence have emerged as key enablers of next-generation smart cities by providing scalable computing infrastructure, real-time data processing, intelligent automation, and efficient resource management. The integration of Cloud Computing, Edge Computing, Artificial Intelligence (AI), Internet of Things (IoT), Big Data Analytics, 5G/6G communication networks, blockchain, Digital Twins, and Cyber-Physical Systems (CPS) enables smart cities to improve transportation, energy management, healthcare, environmental monitoring, public safety, waste management, and citizen-centric services. While cloud computing provides large-scale storage and computational resources, edge intelligence processes data closer to the source, reducing latency and enhancing real-time decision-making for critical urban applications. This study investigates the role of Cloud Computing and Edge Intelligence in developing next-generation smart cities using a qualitative and analytical research methodology based on secondary data collected from peer-reviewed journals, government reports, international smart city frameworks, and multidisciplinary case studies. The study examines cloud-edge collaborative architectures, intelligent traffic management, smart healthcare, smart grids, environmental monitoring, public safety, disaster management, and urban sustainability. Furthermore, it evaluates the integration of AI, IoT, blockchain, Digital Twins, autonomous systems, and explainable AI while identifying implementation challenges and future research directions. The findings indicate that cloud-edge collaboration significantly improves service responsiveness, operational efficiency, resource utilisation, energy conservation, citizen engagement, and urban resilience. Edge Intelligence enhances real-time analytics, autonomous decision-making, privacy protection, and low-latency applications, while cloud computing supports large-scale analytics, long-term storage, and city-wide coordination. However, challenges including cybersecurity, interoperability, privacy, infrastructure costs, data governance, scalability, and regulatory compliance continue to influence successful deployment. The study concludes that Cloud Computing and Edge Intelligence provide a comprehensive multidisciplinary framework for building resilient, sustainable, secure, and citizen-centric smart cities. Collaboration among governments, technology providers, researchers, urban planners, policymakers, and local communities is essential for achieving intelligent urban development and sustainable digital transformation.
Keywords	Cloud Computing, Edge Intelligence, Smart Cities, Internet of Things, Artificial Intelligence, Edge Computing, Digital Twins, Urban Computing, Sustainable Cities.
Field	Engineering
Published In	Volume 1, Issue 2, March-April 2019
Published On	2019-03-31

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American Journal of Advanced Multidisciplinary Research and Innovation

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Cloud Computing and Edge Intelligence for Next-Generation Smart Cities

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