Cloud Based Deep Learning for Data Analytics in the Internet of Things

Cloud Based Deep Learning for Data Analytics in the Internet of Things

Dr. Mahesh Kotha, Aluri Gopi, Sathini Santhosh Kumar

Associate Professor, Department of CSE (AI&ML), CMR Technical Campus, Hyderabad.

Associate professor, Department of Electronics and Communication Engineering, CMR Engineering College, Hyderabad.

Assistant Professor, Dept of CSE, Vignan's Institute of Management and Technology for Women

Kondapur, Hyderabad.

Abstract: The convergence of cloud computing, deep learning (DL), and the Internet of Things (IoT) has opened new frontiers in data analytics. IoT generates massive volumes of data from interconnected devices, while deep learning techniques provide powerful methods for extracting insights from this data. However, the computational requirements of deep learning models often exceed the capabilities of edge and IoT devices. This paper explores how cloud-based deep learning enables scalable and efficient data analytics in IoT environments. We discuss the key architectures, frameworks, challenges, and potential future directions in this emerging field.

Keywords: Cloud Computing, Deep Learning, Internet of Things (IoT), Edge Computing, Hybrid Cloud Architecture, Real-time Data Analytics.