Dew Computing

ISBN-13: 9789819945894 / Angielski / Twarda / 2023

Opis

This book discusses the dew computing paradigm with the evolution of future-generation technologies through the cloud and the Internet of Things in the scope of machine intelligence. Dew computing is an emerging paradigm that inherits a flexible and super-hybrid methodology to afford personal information to users with self-regulating internetwork connectivity. The contents conceptualize how the end-users can benefit from data analytics through intelligent data sensing, computing, analytics, and distributed scenarios using a dew-cloud computational framework over the Internet of Things environment. The main focus of this book is to bring all the related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians, and the industry can easily understand dew computing, future generations of cloud computing, machine intelligence, and representation learning in IoT-enabled technologies.

Widoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej. Nie gwarantujemy zgodności okładki z prezentowanym zdjęciem.

Spis treści

Fundamentals of Dew Computing.- Foundation of system architectures in Dew computing paradigm.- IoT Convergence paradigm: Cloud, Edge, Fog, and Dew Computing.- Statistical and computational frameworks in Dew-based IoT ecosystems.- Intrusion Detection Systems and analysis in Intelligent Dew-based IoT systems.

O autorze

Prof. Debashis De earned his M.Tech. from the University of Calcutta in 2002 and his Ph.D. (Engineering) from Jadavpur University in 2005. He is a Professor and Director in the Department of Computer Science and Engineering at the West Bengal University of Technology (presently known as Maulana Abul Kalam Azad University of Technology, West Bengal), India, and an Adjunct Research Fellow at the University of Western Australia, Australia. He is a Senior Member of the IEEE, a Life Member of CSI, and a Member of the International Union of Radio Science. He worked as R&D Engineer for Telektronics and Programmer at Cognizant Technology Solutions. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Herriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist Award both in 2005 at New Delhi and in 2011 at Istanbul, Turkey, from the International Union of Radio Science, Head Quarter, Belgium. His research interests include wireless sensor networks, mobile cloud computing, green mobile networks, and nanodevice designing for mobile applications. He has published in more than 370 peer-reviewed international journals in IEEE, IET, Elsevier, Springer, World Scientific, Wiley, IETE, Taylor Francis, and ASP; more than 250 international conference papers; four research monographs in Springer, CRC, and NOVA; twenty books; and ten filed patents in his name. He has been listed in the Top 2% Scientist List of the world, Stanford University, USA. His research interest is Mobile Cloud Computing, IoT, and Quantum Computing. He is the Chairman of IETE and CSI Kolkata chapter.

Dr. Samarjit Roy is currently working as Assistant Professor at the School of Computer Science, Engineering, and Applications (SCSEA) at the D Y Patil International University, Pune, Maharashtra, India. He was a UGC Junior and Senior Research Fellow (UGC-SRF) at the Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal (formerly known as, West Bengal University of Technology), India. He has received a Ph.D. in Computer Science and Engineering on Intelligent Musical Pattern Recognition and Information Retrieval. He has served as Assistant Professor and Department Incharge at the Department of Computer Science and Engineering, Techno India Silli, Ranchi, Jharkhand. He completed his M.Tech. in Information Technology from Manipal Institute of Technology and B.Tech. in Information Technology from Government College of Engineering and Leather Technology, Kolkata, West Bengal. His research areas include Musical Pattern Recognition, Information Retrieval, Context-Aware Recommender Systems, Speech-Audio-Signal Processing, Cloud-Dew-Edge-Fog (CDEF) Computing, Soft Computing, Machine-Deep-Representation Learning, Internet of Music Things, Crowdsensing, and Data Analytics. He has published more than 50 research articles, books, book chapters, etc. in numerous reputed national and international journals, conferences, and with other international publication societies. He has achieved several international and national research recognitions, such as the Young Scientist Awards; Young Researchers Awards; Scientist of the Year 2020 from Illinois, USA; Socrates Award from Academic Union, Oxford, UK; Honorary Professor Project, Oxford; and doctoral fellowships from UGC India in Engineering and Technology section. He has organized and participated in several national and international conferences, workshops, symposiums, STTPs, and FDPs.

Blurb

This book discusses the dew computing paradigm with the evolution of future-generation technologies through the cloud and the Internet of Things in the scope of machine intelligence. Dew computing is an emerging paradigm that inherits a flexible and super-hybrid methodology to afford personal information to users with self-regulating internetwork connectivity. The contents conceptualize how the end-users can benefit from data analytics through intelligent data sensing, computing, analytics, and distributed scenarios using a dew-cloud computational framework over the Internet of Things environment. The main focus of this book is to bring all the related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians, and the industry can easily understand dew computing, future generations of cloud computing, machine intelligence, and representation learning in IoT-enabled technologies.