Fog computing is a decentralized computing infrastructure in which computing resources are located between the data source and the cloud or any other data centers. The word "fog" refers to its cloud-like properties, which are closer to the "ground", using edge devices that carry out locally computation, storage and communication tasks. An additional benefit is that the processed data is likely to be needed by the same devices that generated the data. By processing locally rather than remotely, the latency between input and response are minimized. This technology has countless application domains such as industrial process control, smart cities, transportation, healthcare and agriculture.
In this book, all the important topics in fog computing systems are covered, including energy efficiency, quality of service (QoS) issues, reliability and fault tolerance, load balancing, and scheduling. Special attention is devoted to emerging trends and industry needs associated with utilizing mobile edge computing, internet of things (IoT), resource estimation as well as virtualization in the fog computing environment. Current research on automation, robotics, data privacy, security and trust in fog computing is explored in depth. The book also discusses emerging techniques including deep learning, mobile edge computing, smart grid and intelligent transportation systems beyond theoretical and foundational concepts for smart applications including real time traffic surveillance, interoperability of fog computing architecture and smart homes and smart cities.
Intended for an audience of researchers from academia and industry, as well as lecturers, engineers and advanced students, Enabling Technologies for Smart Fog Computing offers valuable insights for those with an interest in the field.
Balusamy, Balamurugan: -
Balamurugan Balusamy is a professor at the School of Computing Science and Engineering, Galgotias University, India. His research focuses on blockchain and IoT. He has published 30 technology books and over 150 journal and conference papers and book chapters. He serves on the advisory committee for several start-ups and forums and does consultancy work for the industry on Industrial IoT. He has given over 175 talks at events and symposiums. He is a member of several associations including IEEE and ACM. He holds a PhD degree on "Investigations of cloud computing access control techniques" from VIT University, Vellore, India.
Dhatterwal, Jagjit Singh: -
Jagjit Singh Dhatterwal is presently working as an associate professor with the Department of Artificial Intelligence and Data Science Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India. He has also worked with Maharshi Dayanand University, Rohtak and PDM University, Bahadurgarh, Haryana, India. He has supervised many UG and PG projects for engineering students and is presently supervising one PhD student. He is also a member of the Computer Science Teachers Association (CSTA), New York, USA, International Association of Engineers, Hong Kong, IACSIT, a professional member of the Association of Computing Machinery, USA, IEEE, and a life member of the Computer Society of India. His areas of interest include artificial intelligence, BCI, cyborgs, and multi-agents technology. He has a number of publications in international and national journals and conferences.
Jaglan, Vivek: -
Vivek Jaglan is working as a professor and director at Amity School of Engineering and Technology, Amity University, Gwalior, India. He has nearly 19 years of teaching and research experience. His current research areas cover artificial intelligence, neural networks, fuzzy logic, and IoTs. He has presented and published 80+ papers in journals and conferences. He holds a doctorate degree from the Computer Science and Engineering Department, SGV University, Jaipur, India. He has supervised 7 PhD students, 11 masters' students completion and is currently supervising four PhD students. He has two design patents (India), one of the patents "Tooth Brush With Digital Display" design patent, which includes unique features that allow the brush to dispense only the required amount of toothpaste recommended by the dentist and verify that the user has properly brushed their teeth. He has been invited as an expert in the field of artificial intelligence and its approach on multiple occasions.
Kaswan, Kuldeep Singh: -
Kuldeep Singh Kaswan is presently working in the School of Computing Science and Engineering, Galgotias University, Uttar Pradesh, India. His contributions focus on BCI, cyborg, and data science. His academic degrees and 13 years of experience working with global Universities, such as, Amity University, Noida, India, Gautam Buddha University, Greater Noida, India and PDM University, Bahadurgarh, India, have made him more receptive and prominent in his domain. He received his doctorate in computer science from Banasthali Vidyapith, Rajasthan. He has also received a D.Eng. from Dana Brain Health Institute, Iran. He has supervised three PhD graduates and presently supervising four PhD students. He is also a member of IEEE, Computer Science Teachers Association, New York, USA, International Association of Engineers, Hong Kong, professional member of Association of Computing Machinery, USA. He has number of publications also in international and national journals and conferences. He is an editor, author, and review editor of journals and books with IEEE, Wiley, Springer, IGI, and River.
Sood, Kiran: -
Kiran Sood is a professor at Chitkara Business School, Chitkara University, Punjab, India; an affiliate professor in the faculty of Economics Management and Accountancy at the University of Malta; and a postdoc researcher in the faculty of Applied Sciences at the University of Usak, Turkey. Her areas of research cover the fields of big data and finance. She serves as an editor for several refereed journals including the IJBST International Journal of BioSciences and Technology and the International Journal of Research Culture Society. She earned her doctor of philosophy in commerce with a concentration on product portfolio performance of general insurance companies from Panjabi University, Patiala, India.
