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Cloud and Fog Optimization-based Solutions for Sustainable Developments -

Cloud and Fog Optimization-based Solutions for Sustainable Developments

Buch | Hardcover
376 Seiten
2024
CRC Press (Verlag)
978-1-032-79909-4 (ISBN)
CHF 209,45 inkl. MwSt
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This text discusses resource management solutions for the Internet of Things devices in fog computing architecture, management of metropolitan mobility for public transport and smart vehicles with cloud, fog, and edge computing, and waste management with cloud and fog computing for sustainable development.
Cloud and Fog Optimization-based Solutions for Sustainable Developments discusses the integration of fog computing and the Internet of Things to provide scalable, secure, and cost-effective digital infrastructures for smart services in diverse domains.

• Highlights resource management solutions for the Internet of Things devices in fog computing architectures.

• Discusses waste management using cloud and fog computing for sustainable development, and optimization of the Internet of Things in fog computing for fault tolerance.

• Covers smart surveillance and monitoring using cloud and fog computing, and energy-efficient smart healthcare.

• Explains energy-efficient frameworks for cloud-fog environment for sustainable development, and smart grid infrastructure using cloud and fog computing.

• Presents the management of metropolitan mobility for public transport and smart vehicles with cloud and fog computing.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and information technology.

Shilpi Harnal is an Assistant Professor in the Department of Computer Science and Engineering at Chitkara University, Punjab, India. She specializes in cloud computing and security. She has worked on fog computing, underwater wireless sensor networks (UWSN), and artificial intelligence. She has around 14 years of teaching experience and has published 20 patents and 35+ research papers in various international, national, and peer-reviewed journals, books, and conferences. Rajeev Tiwari is a Professor and Dean in the School of Computer Science and Engineering at IILM University Greater Noida, India. He is a senior IEEE member. He has more than 16 years of research and teaching experience. His broad area of research includes cloud computing, MANET, VANET, fog computing, QoS in such network environments, cache invalidation techniques, the Internet of Things (IoT), big data analytics, and machine learning. He has 70+ international publications in SCI, and Scopus-indexed journals and conferences. Lalit Garg is an Associate Professor in the Department of Computer Information Systems, at the University of Malta, Malta, and an honorary Lecturer at the University of Liverpool, UK. He has been a researcher at the Nanyang Technological University, Singapore, and Ulster University, UK. He has published 150+ high-impact publications in refereed journals/conferences/books, 17 edited books, and 22 patents. His research interests are business intelligence, machine learning, data science, deep learning, cloud computing, mobile computing, the Internet of Things (IoT), and information systems. Ashish Mathur is a Professor in the Center for Inter-disciplinary Research and Innovation (CIDRI), at UPES Dehradun, India. He worked as a research associate at the Nanotechnology and Integrated Bio-Engineering Center (NIBEC), at the University of Ulster, UK. His noteworthy contributions in the field of research are reflected in his published 116 research papers of high impact journals including Biosensors and Bioelectronics, Scientific Reports, IEEE Sensors, Applied Surface Science, and Sensor. His research focuses on developing novel sensors using nanotechnology for societal benefits which include women's safety, drug abuse, and environmental issues.

1. Resource Management Solutions for IoT Devices in Fog Computing Architecture. 2. Applications and Challenges for Sustainable development with Cloud/Fog/Edge computing. 3. Management of metropolitan mobility for public transport and smart vehicles with fog computing. 4. Smart Grid Infrastructure with Cloud/Fog Computing for Sustainable Development. 5. Smart Agriculture with Cloud/Fog Computing and Sensor Networks for Sustainable Development. 6. Enhancing Sustainable Development through AI and Non-AI based Application Placement in FC. 7. Fog Computing for Sustainable Smart Cities: Software Deployment, Data Analytics and Legal Considerations. 8. Sustainable Data Driven Irrigation and fertilization based on Artificial Intelligence. 9. Security Challenges and Solutions in Cloud, Fog, and Edge Computing for Sustainable Development. 10. Empowering Fog Computing for Achieving Sustainability. 11. Resource Allocation Using a Hybrid Evolutionary Model and Machine Learning. 12. The Cloud Frontier: A Paradigm Shift in Sustainable Supply Chain Management through Data Analytics. 13. Waste management sustainability using Cloud and Fog computing. 14. Fog Computing: Advancing Sustainable Development Goals (SDGs). 15. Energy efficient framework for cloud-fog environment for sustainable development.

Erscheint lt. Verlag 24.12.2024
Zusatzinfo 8 Tables, black and white; 51 Line drawings, black and white; 11 Halftones, black and white; 62 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 156 x 234 mm
Themenwelt Mathematik / Informatik Informatik Software Entwicklung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Medizin / Pharmazie Physiotherapie / Ergotherapie Orthopädie
Technik Elektrotechnik / Energietechnik
Technik Medizintechnik
Technik Umwelttechnik / Biotechnologie
ISBN-10 1-032-79909-9 / 1032799099
ISBN-13 978-1-032-79909-4 / 9781032799094
Zustand Neuware
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