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Advances in Distributed Computing and Machine Learning : Proceedings of ICADCML 2021 / edited by Jyoti Prakash Sahoo, Asis Kumar Tripathy, Manoranjan Mohanty, Kuan-Ching Li, Ajit Kumar Nayak

Contributor(s): Sahoo, Jyoti Prakash, editor literario | Tripathy, Asis Kumar, editor literario | Mohanty, Manoranjan, editor literario | Li, Kuan-Ching, editor literario | Nayak, Ajit Kumar, editor literario
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Networks and Systems, 2367-3389; 302).Publisher: Singapore : Springer International Publishing, 2022Edition: First edition 2022.Description: 1 recurso en línea (XXX, 513 páginas) : 332 ilustraciones, 184 ilustraciones a color.ISBN: 9789811648076.Subject: Proceso distribuido (Informática) -- Congresos y asambleas | Aprendizaje automático -- Congresos y asambleasOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Unconstrained Power Management Algorithm for Green Cloud Computing -- An Efficient Load Balancing System with Resource Failure -- Energy-Aware Service Management in Vehicular Cloud Computing.
Summary: This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA76.9.D5 2022 EB (Browse shelf(Opens below)) Acceso electrónico eBook.18032029
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Unconstrained Power Management Algorithm for Green Cloud Computing -- An Efficient Load Balancing System with Resource Failure -- Energy-Aware Service Management in Vehicular Cloud Computing.

This book presents recent advances in the field of scalable distributed computing including state-of-the-art research in the field of Cloud Computing, the Internet of Things (IoT), and Blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning to address complex real-world problems. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research(ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

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