Fog Computing for Intelligent Cloud IoT by Chandan Banerjee (.ePUB)+

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File Size: 24.0 MB

Fog Computing for Intelligent Cloud IoT Systems by Chandan Banerjee, Anupam Ghosh, Rajdeep Chakraborty
Requirements: .ePUB, .PDF reader, 24.0 MB
Overview: This book is a comprehensive guide on fog computing and how it facilitates computing, storage, and networking services. Fog computing is a decentralized computing structure that connects data, devices, and the cloud. It is an extension of cloud computing and is an essential concept in IoT (Internet of Things), as it reduces the burden of processing in cloud computing. It brings intelligence and processing closer to where the data is created and transmitted to other sources. This book is divided into three sections. The first section studies fog computing and machine learning, covering fog computing architecture, application perspective, computational offloading in mobile cloud computing, intelligent Cloud-IoT systems, machine learning fundamentals, and data visualization. The second section focuses on applications and analytics, spanning various applications of fog computing, such as in healthcare, Industry 4.0, cancer cell detection systems, smart farming, and precision farming. This section also covers analytics in fog computing using big data and patient monitoring systems, and the emergence of fog computing concerning applications and potentialities in traditional and digital educational systems. Security aspects in fog computing through blockchain and IoT, and fine-grained access through attribute-based encryption for fog computing are also covered. The book will be read by researchers and engineers in computer science, information technology, electronics, and communication specializing in machine learning, deep learning, the cyber world, IoT, and security systems.
Genre: Non-Fiction > Tech & Devices

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