Driving intelligent IoT monitoring and control through cloud computing and machine learning
Hanzhe Li, Xiangxiang Wang, Yuan Feng, Yaqian Qi, Jingxiao Tian
Abstract
At present, cloud computing and the Internet of Things are closely integrated. IoT devices gather data through sensors and transmit it to the cloud for storage, processing, and analysis. This synergy enables efficient data management and in-depth analysis, facilitating real-time monitoring and predictive maintenance. This article explores leveraging cloud computing and machine learning for intelligent IoT monitoring and control. Edge computing, a distributed architecture, decentralizes data processing from the cloud to reduce latency and improve efficiency. This combination enhances security and drives the development of intelligent systems.
Topics & Concepts
Cloud computingComputer scienceInternet of ThingsEdge computingArchitectureControl (management)Distributed computingLatency (audio)Enhanced Data Rates for GSM EvolutionIntelligent controlData processingEmbedded systemArtificial intelligenceOperating systemVisual artsArtTelecommunicationsIoT and Edge/Fog Computing