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Empowering IoT with Big Data Analytics

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.11.2024

Herausgeber

Serhani Mohamed Adel + weitere

Verlag

Elsevier Science & Technology

Seitenzahl

390

Maße (L/B/H)

23,5/19,1/2 cm

Gewicht

670 g

Sprache

Englisch

ISBN

978-0-443-21640-4

Beschreibung

Portrait

Mohamed Adel Serhani is a full professor at the College of Computing and Informatics, Sharjah University, Sharjah, United Arab Emirates. He holds a PhD in Electrical and Computer Engineering from Concordia University and MSc in Software Engineering from University of Montreal, Canada. He has extensive experience earned throughout his involvement and management of different research and development projects. He has served on several organizing and technical program committees for many international conferences, and workshops (e.g., ICWS, SERVICES, IIT, IWCMC). He has published more than 150 refereed publications, including conferences, journals, a book, and book chapters. His research interests include Federated Learning, Cloud for data intensive e-health applications, and services; SLA enforcement in cloud data centers, and big data value chain; Cloud federation and monitoring, and non-invasive smart health monitoring; management of communities of web services; and web services applications and security.
Yang Xu is the Yaoshihua Chair Professor at the School of Computer Science in Fudan University, China. His research interests include software-defined networks, data center networks, distributed machine learning, edge computing, network function virtualization, and network security. Dr. Xu has published more than 100 journal and conference papers and holds more than 10 U.S. and international granted patents on various aspects of networking and computing. He served as a TPC member for many international conferences, as an editor for the Journal of Network and Computer Applications (Elsevier), and as a guest editor for the IEEE Journal on Selected Areas in Communications-Special Series on Network Softwarization & Enablers and Wiley Security and Communication Networks Journal-Special Issue on Network Security and Management in SDN.
Prior to joining Fudan University, he was a research associate professor in the Department of Electrical and Computer Engineering, New York University Tandon School of Engineering.
Zakaria Maamar is Professor of Computer Science and Dean of the College of Computing and Information Technology at University of Doha for Science and Technology in Doha, State of Qatar. His research interests include service computing, cloud/edge computing, and Internet of (cognitive) Things. Dr. Maamar has published in different peer reviewed journals and conferences and serves on the program and organizing committees of several international conferences and workshops as well as on the editorial boards of many international journals. He is the recipient of an IBM Faculty Award in 2009. He has a PhD in computer science from Laval University, Quebec City, Canada.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

28.11.2024

Herausgeber

Verlag

Elsevier Science & Technology

Seitenzahl

390

Maße (L/B/H)

23,5/19,1/2 cm

Gewicht

670 g

Sprache

Englisch

ISBN

978-0-443-21640-4

EU-Ansprechpartner

Zeitfracht Medien GmbH
Ferdinand-Jühlke-Straße 7
99095 Erfurt
DE
produktsicherheit@zeitfracht.de

Herstelleradresse

Elsevier Science & Technology
London Wall 125
EC2Y 5AS London
GB
tradeorders@elsevier.com

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  • Produktbild: Empowering IoT with Big Data Analytics
  • Produktbild: Empowering IoT with Big Data Analytics
  • 1. Introduction: Foundations of IoT and Big data
    2. Big Data Analytics for IoT: Technologies, Importance, and Algorithms
    3. Machine learning models for sensory data analytics
    4. Applications of Big data analytics in IoT
    5. Security and privacy of IoT applications
    6. Big data Quality Assessment in the IoT era
    7. Cloud/edge provisioning to support big data and IoT
    8. Blockchain and AI: A Dual Strategy for IoT security
    9. Networks and Implementation tools for IoT and Big Data.
    10. IoT for Critical Big data Applications
    11. Case studies of Big Data applications for IoT
    12. New trends in big data and IoT applications and solutions
    13. Exploring the Convergence of IoT and Big Data Technologies in the Age of Generative Artificial Intelligence