Dew Computing : The Sustainable IoT Perspectives / edited by Debashis De, Samarjit Roy
Material type:
E-bookSeries: (Internet of Things, Technology, Communications and Computing, 2199-1081).Publisher: Singapore : Springer International Publishing, 2024Edition: 1st ed. 2024.Description: 1 recurso en línea.ISBN: 9789819945900.Subject: Internet de los objetos
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5105.8857 2024 EB (Browse shelf(Opens below)) | Acceso electrónico | ebook10042051 |
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| TK5105.8857 2023 EB Information and Communication Technologies : 11th Ecuadorian Conference, TICEC 2023, Cuenca, Ecuador, October 18-20, 2023, Proceedings | TK5105.8857 2023 EB Advances in Technology Transfer Through IoT and IT Solutions | TK5105.8857 2024 EB Internet of Everything for Smart City and Smart Healthcare Applications | TK5105.8857 2024 EB Dew Computing : The Sustainable IoT Perspectives | TK5105.8857 2024 EB Device-Edge-Cloud Continuum : Paradigms, Architectures and Applications | TK5105.8857 2024 EB Cybersecurity Vigilance and Security Engineering of Internet of Everything | TK5105.88573 2020 EB Decentralised Internet of Things : A Blockchain Perspective |
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.
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.
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