Cloud and Fog Optimization-Based Solutions for Sustainable Developments

1. Auflage 2024
ISBN: 978-1-032-79909-4
Verlag: CRC Press

Buch, Englisch, 338 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 649 g

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 environments 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.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Harnal, Shilpi

Tiwari, Rajeev

Garg, Lalit

Mathur, Ashish

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

Shilpi Harnal is an Associate Professor in the Department of Computer Science & Engineering at Chandigarh University, Mohali, 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 areas of research include 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 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 in 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.