Recently, several fog computing applications have been developed like IoT-based healthcare, 5G, blockchains, autonomous driving, and mobile wireless applications. They also address challenges such as data management, scalability, regulations, interoperability, device network human interfaces, security, and privacy. Further study on these applications is required to ensure this technology is utilized appropriately. Multi-Disciplinary Applications of Fog Computing: Responsiveness in Real-Time focuses on fog computing problems and solutions for various applications and covers the new approaches, architecture, and theoretical foundations in the fog paradigm of storage, communication, and computing. The book explores recent trends and challenges that lead to a potential course for the ideas, practices, norms, and strategies related to fog computing. Covering key topics such as data privacy, data analytics, and the internet of things, this reference work is ideal for computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.

Data analytics is an active area of current research for its potential application to many real-life problems. Therefore, it is challenging for human beings in analyzing, processing, and transforming huge data into knowledge. It is very difficult to analyze and extract expert knowledge from a universe due to the lack of computing resources available. Therefore, it is an active area of current research in computer science, electronics, electrical, and information technology. The objective of this edited book is to provide the researchers the recent advances in the fields of data analysis processing through fog computing, which are required to achieve in-depth knowledge in the field of concerned to solve problems in real-time applications. To achieve these objectives, both theoretical advances and their applications to real-life problems are stressed upon. This has been done to make the edited book more flexible and to stimulate further research interest in topics. Besides providing up-to-date knowledge in the field, this edited volume also provides a launchpad for future research. Many of the researchers in different organizations across the globe have been doing research in fog computing, its architecture, and its applications. To keep abreast with this development, it is an effort to bring the recent advances in fog computing and its emerging applications in a cohesive manner. The main objective is to bring most of the major developments in the above-mentioned area in a precise manner so that it can serve as a handbook for many researchers. Also, many of the universities have introduced this topic as a course at the postgraduate level.