Cloud of Things (eBook, ePUB)

Foundations, Applications, and Challenges
Redaktion: Kumar, Jitendra; Lee, Chung-Nan; Singh, Ashutosh Kumar; Gangadharan, G. R.

• Format: ePub

Produktbeschreibung

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 7. August 2024
• Englisch
• ISBN-13: 9781040089309
• Artikelnr.: 72244679

Autorenporträt

Jitendra Kumar (https://orcid.org/0000-0002-2938-6432) Dr Jitendra Kumar is an Assistant Professor in the Department of Computer Applications, National Institute of Technology Tiruchirappalli, Tamilnadu, India (an institution of national importance). Dr Kumar obtained his PhD in Machine Learning and Cloud Computing from the National Institute of Technology Kurukshetra, Haryana, India. He has authored and published many research articles in peer-reviewed and indexed journals and conferences of high repute. He is a senior member of IEEE and several other IEEE technical committees, including CIS, TCCLD, TCSVC, and SIGHT. He is also a member of ACM and MIR Labs. He is an active review board member of various journals and conferences of repute like 'IEEE Transactions on Parallel and Distributed Systems', 'IEEE Transactions on Computers', 'IEEE Systems Journal', 'IEEE Access', 'IJCNN', 'FUZZ-IEEE', 'CEC', etc. His research interests include Cloud Computing, Machine Learning, Computational Intelligence, Time Series Forecasting, and Optimization. Gangadharan G R (https://orcid.org/0000-0002-0764-2650) Gangadharan G R is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. His areas of research interests include Artificial Intelligence, Machine Learning, Big Data Analytics, and Cloud Computing. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant'Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM. Ashutosh Kumar Singh (https://orcid.org/0000-0002-8053-5050) Dr. Ashutosh Kumar Singh is an esteemed researcher and academician in Electrical and Computer engineering. Prof. Ashutosh Kumar Singh is the Director of the Indian Institute of Information Technology Bhopal, India (an institution of national importance). He has more than 20 years of research, teaching and administrative experience in various University systems in India, the UK, Australia and Malaysia. Dr. Singh obtained his Ph. D. degree in Electronics Engineering from the Indian Institute of Technology-BHU, India; Post Doc from the Department of Computer Science, University of Bristol, United Kingdom; and Charted Engineer from the United Kingdom. He is the recipient of the Japan Society for the Promotion of Science (JSPS) fellowship for a visit to the University of Tokyo and other universities in Japan. Dr. Singh was a visiting scientist in Frankfurt Institute for Advanced Studies, Goethe University, Germany. His research area includes Verification, Synthesis, Design and Testing of Digital Circuits, Predictive Data Analytics, Data Security in the Cloud, and Web Technology. He has more than 380 publications, which include peer-reviewed journals, books, conferences, book chapters and news magazines in these areas. He has co-authored eleven books, including "Machine Learning for Cloud Management", "Web Spam Detection Application using Neural Network", "Digital Systems Fundamentals", and "Computer System Organization & Architecture". Prof. Singh has worked as principal investigator/investigator for six sponsored research projects and was a key member of a project from EPSRC (United Kingdom) entitled "Logic Verification and Synthesis in New Framework". Dr Singh has visited several countries, including Australia, the United Kingdom, South Korea, China, Thailand, Indonesia, Japan, Germany and the USA, for collaborative research, invited talks, and presented his research work. He is also serving as an editorial board member, guest editor, and associate editor in various journals of high repute. Chung-Nan Lee (https://orcid.org/0000-0002-0789-1956) Prof. Chung-Nan Lee received the B.S. and the M.S. degrees, both in electrical engineering, from National Cheng Kung University, Tainan, Taiwan, in 1980 and 1982, respectively, and the Ph.D. degree in electrical engineering from the University of Washington, Seattle, in 1992. Since 1992, he has been with National Sun Yat-Sen University, Kaohsiung, Taiwan, where he was an Associate Professor in the Department of Computer Science and Engineering from 1992 to 1999; he was the Chairman of the Department of Computer Science and Engineering from August 1999 to July, 2001; Director of Wireless Broadband Communication Protocol Cross-Campus Research Center from 2013 to 2017; President of Taiwan Association of Cloud Computing from 2015 to 2017; currently, he is a Distinguished Professor and Director of Cloud Computing Research Center; Board of Governors of APSIPA from 2017. In 2016 he received the outstanding engineering professor from Chinese Institute of Engineers, Taiwan. His current research interests include multimedia over wireless networks, cloud computing, and evolutionary computing.

Inhaltsangabe

1. Cloud of Things: Architecture and Industrial Applications 2. Development
of Digital Twin System for Cloud of Things 3. A Critical Analysis of
Enhanced Virtual Machine Selection and Planning using Statistical
Approaches in Cloud Data Centers 4. An Analysis of Security and Privacy in
Cloud and IoT 5. Cloud of Things in Smart Cities 6. BGLMC: A Bidirectional
GRU based Learning Model for Cloud-Computing Resource Workloads Forecasting
7. Study on Cost-Effective Solutions for Big Data Processing in the Cloud
of Things 8. Phishing Attack Detection For Cloud Based Environment Using
Hybrid Machine Learning Model 9. Towards the sustainable development of
smart cities through Cloud of Things 10. Data-level Cyber Deception in
Cloud of Things: Prospects, Issues, and Challenges 11. AI-Based Mass
Screening Using Cloud-Based EHR and CXR - An Implication for India's
National Strategic Plan to End Tuberculosis 12. Defending Medicare:
Unleashing the Power of Anti-Vortex Technology against Hackers in Cloud
Environment 13. An automated approach for migration of Microservices based
applications to Serverless Architecture 14. Cloud Defender: Developing a
Machine Learning Framework for Real-Time Detection and Mitigation of DDoS
Attacks in Cloud Computing Environments 15. GBDT based Approach for DDoS
Attack Prevention in SDN-based Cloud Virtual Machine 16. Cloud-based
Decentralised Freelancing Marketplace 17. Poisson Based Energy Hole
Prediction (PBEHP) for Voronoi Wireless Multimedia Sensor Network 18. A
Viral Decoy Environment for Ransomware Defense 19. CouPLeD: Cloud Enabled
Artificial Neural Network Framework for Plant Leaf Disease Detection 20.
Concerns, Threats and Ethical Considerations in Using Cloud of Things