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Record Nr. |
UNINA9910760260403321 |
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Titolo |
Dew Computing [[electronic resource] ] : The Sustainable IoT Perspectives / / edited by Debashis De, Samarjit Roy |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (347 pages) |
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Collana |
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Internet of Things, Technology, Communications and Computing, , 2199-1081 |
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Disciplina |
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Soggetti |
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Telecommunication |
Internet of things |
Electronic circuits |
Cooperating objects (Computer systems) |
Communications Engineering, Networks |
Internet of Things |
Electronic Circuits and Systems |
Cyber-Physical Systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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