AI for Dynamic Resource Orchestration in Edge AI-Enabled Smart Cities
Keywords:
Edge AI, smart cities, resource orchestration, artificial intelligenceAbstract
Why are clever cities appealing? Edge computing, IoT, artificial intelligence improve urban living. By local data review, edge artificial intelligence can reduce latency, bandwidth, and enable real-time decision making. Edge artificial intelligence-driven smart cities find it difficult to coordinate resources across many devices and systems. Scalability, reliability, and efficiency in these demanding environments need for smart resource orchestration using artificial intelligence. This paper suggests that smart cities with edge artificial intelligence can dynamically allocate resources. Using machine learning, deep learning, and reinforcement learning we explore optimization of resource allocation, system performance, network congestion, and energy consumption. The paper also addresses artificial intelligence uses in affluent, environmentally friendly smart cities.
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