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Predictive Analytics in Cloud, Fog, and Edge Computing

Perspectives and Practices of Blockchain, IoT, and 5G
BuchGebunden
248 Seiten
Englisch
Springererschienen am17.12.20221st ed. 2023
This book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.mehr
Verfügbare Formate
BuchGebunden
EUR181,89
BuchKartoniert, Paperback
EUR181,89
E-BookPDF1 - PDF WatermarkE-Book
EUR171,19

Produkt

KlappentextThis book covers the relationship of recent technologies (such as Blockchain, IoT, and 5G) with the cloud computing as well as fog computing, and mobile edge computing.
Zusammenfassung
Comprehensive guide to Cloud computing features and issues

Recent use cases and applications of Blockchain, IoT, and 5G

Current and emerging challenges of cloud, fog, and edge computing
Details
ISBN/GTIN978-3-031-18033-0
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr2022
Erscheinungsdatum17.12.2022
Auflage1st ed. 2023
Seiten248 Seiten
SpracheEnglisch
IllustrationenX, 248 p.
Artikel-Nr.51034572

Inhalt/Kritik

Inhaltsverzeichnis
Chapter. 1. Collaboration of IoT and Cloud Computing towards Healthcare Security.- Chapter. 2. Robust, Reversible Medical Image Watermarking for Transmission of Medical Images over Cloud in Smart IoT Healthcare.- Chapter. 3.The Role of Blockchain in Cloud Computing.- Chapter. 4. Analysis and Prediction of Plant Growth in a Cloud-based Smart Sensor Controlled Environment.- Chapter. 5. Cloud-based IoT controlled System Model for Plant Disease Monitoring.- Chapter. 6.- Design and Usage of a Digital E- Pharmacy Application Framework.- Chapter. 7. Serverless Data Pipelines for IoT data analytics: A cloud vendors perspective and solutions.- Chapter. 8. Integration of Predictive Analytics and Cloud Computing for Mental Health Prediction.- Chapter. 9. Impact of 5G technologies on cloud analytics.- Chapter. 10. IoT based ECG-SCG Big Data Analysis Framework for Continuous Cardiac Health Monitoring in Cloud Data Centers.-Chapter. 11. A Workload-aware Data Placement Scheme for Hadoop-enabled MapReduce Cloud Data Center.- Chapter. 12. 5G Enabled Smart City using Cloud Environment.mehr

Schlagworte

Autor

Dr. Hiren Kumar Thakkar has received his M.Tech in Computer Science and Engineering from IIIT Bhubaneswar, India in 2012 and a Ph.D. in Computer Science and Information Engineering from Chang Gung University, Taiwan in 2018. Later, he worked as a postdoctoral researcher in the Department of Occupation Therapy, Motor Behavioral Research Lab (MBRL), Chang Gung University, Taiwan. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering, Pandit Deendayal Energy University, Gujarat, India. His research interests include optimization, machine learning, and reinforcement learning. He has published several research papers in peer-reviewed journals such IEEE Transactions in Parallel and Distributed Systems, IEEE Sensors Journal, IEEE Journal on Selected Areas in Communications, Information Processing and Management, Elsevier. He is a member of IEEE. Dr. Chinmaya Kumar Dehury received a Bachelor´s degree from SambalpurUniversity, India, in June 2009 and a Master´s degree from Biju Pattnaik University of Technology, India, in June 2013. He received a Ph.D. Degree in the Department of Computer Science and Information Engineering, Chang Gung University, Taiwan. He is currently a Lecturer of Distributed System, member of Mobile & Cloud Lab in the Institute of Computer Science, University of Tartu, Estonia. His research interests include scheduling, resource management and fault tolerance problems of Cloud and fog Computing, the application of artificial intelligence in cloud management, edge intelligence, Internet of Things, and data management frameworks. His research results are published by top-tier journals and transactions such as IEEE TCC, JSAC, TPDS, FGCS, etc. He is a member of IEEE and ACM India. He is also serving as a PC member of several conferences and reviewer to several journals and conferences, such as IEEE TPDS, IEEE JSAC, IEEE TCC, IEEE TNNLS, Wiley Software: Practice and Experience,etc. Dr. Prasan Kumar Sahoo (Senior Member, IEEE) received the BSc degree in physics (with honors), the MSc degree in mathematics both from Utkal University, Bhubaneswar, India, in 1987 and 1994, respectively, the MTech degree in computer science from the Indian Institute of Technology (IIT), Kharagpur, India, in 2000, the first PhD degree in mathematics from Utkal University, Bhubaneswar, India, in 2002, and the second PhD degree in computer science and information engineering from the National Central University, Taiwan, in 2009. He is currently a professor with the Department of Computer Science and Information Engineering, Chang Gung University, Taiwan. He is an adjunct researcher in the Division of Colon and Rectal Surgery, Chang Gung Memorial Hospital, Linkou, Taiwan since 2018. He has worked as an associate professor with the Department of Information Management, Vanung University, Taiwan, from 2007 to 2011. He was a visiting associate professor with the Department of Computer Science, Universite Claude Bernard Lyon 1, Villeurbanne, France. His current research interests include artificial intelligence, big data analytic, cloud computing, and IoT. He is the lead guest editor, special issue of Electronics journal and an editorial board member for the International Journal of Vehicle Information and Communication Systems. He has worked as the program committee member of several IEEE and ACM conferences. Dr. Bharadwaj Veeravalli (Senior Member, IEEE) received the BSc degree in physics from Madurai-Kamaraj University, India, in 1987, the master´s degree in electrical communication engineering from the Indian Institute of Science, Bangalore, India, in 1991, and the PhD degree from the Department of Aerospace Engineering, Indian Institute of Science, in 1994. He is currently a tenured associate professor with the Department of Electrical and Computer Engineering, Communications and Information Engineering (CIE) Division, National University of Singapore, Singapore. His main research interests include cloud/grid/cluster computing, which include big data processing, analytics, and resource allocation, scheduling in parallel and distributed systems, cybersecurity, and multimedia computing. He is one of the earliest researchers in the field of divisible load theory. He is currently on the editorial board of the IEEE Transactions on Parallel and Distributed Systems as an associate editor. He is a senior member of the IEEE and the IEEE-CS. He was the recipient of Gold Medals for his bachelor´s degree overall performance and outstanding PhD thesis (IISc, Bangalore, India), in 1987 and 1994, respectively.
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