Convergence Strategies for Green Computing and Sustainable Development

Convergence Strategies for Green Computing and Sustainable Development

Release Date: April, 2024|Copyright: © 2024 |Pages: 332
DOI: 10.4018/979-8-3693-0338-2
ISBN13: 9798369303382|ISBN13 Softcover: 9798369303399|EISBN13: 9798369303405
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Description & Coverage
Description:

Convergence Strategies for Green Computing and Sustainable Development presents a comprehensive exploration of the potential of emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), fog computing, and cloud computing, to aid in fostering a sustainable future. It examines how these technologies can reduce the impact of unsustainability in societies, the environment, and natural resources, offering invaluable insights into harnessing their power for positive change.

The book highlights how the IoT can effectively contribute to pollution reduction using energy-efficient sensors. These sensors are crucial in measuring various components and monitoring trends in the current era. Additionally, AI techniques enable computational analysis to envision systems that promote positive energy. On the other hand, cloud computing revolutionizes business models by providing flexibility, cost savings, enhanced security, efficiency, and unlimited storage while optimizing energy consumption and reducing carbon footprints.

Within the realm of green computing, the book emphasizes the development, design, and use of digital devices to minimize carbon footprints and create a sustainable environment. Convergence Strategies for Green Computing and Sustainable Development serves as a comprehensive strategy that holistically understands, transforms, and develops technological systems in society.

This book caters to a diverse range of readers, including graduate students, researchers, working professionals seeking knowledge, and industry experts seeking information about new trends. With its recommended topics and comprehensive table of contents, readers can gain in-depth knowledge about sustainable cloud computing, artificial intelligence and machine learning for sustainable development, sustainable wireless systems and networks, and the crucial role of green IoT and Edge-AI in driving a sustainable digital transition.

Convergence Strategies for Green Computing and Sustainable Development is a vital resource that equips readers with the necessary tools to navigate the emerging technological landscape and contribute to creating a greener and more sustainable future.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence (AI)
  • Carbon Footprint
  • Cloud Computing
  • Emerging Technologies
  • Energy Efficiency
  • Fog Computing
  • Green Computing
  • Internet of Things (IoT)
  • Sustainable Development
  • Technological Convergence
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Editor/Author Biographies
Vishal Jain is presently working as an Associate Professor at Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, U. P., India. Before that, he has worked for several years as an Associate Professor at Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi. He has more than 16 years of experience in the academics. He obtained Ph.D (CSE), M.Tech (CSE), MBA (HR), MCA, MCP and CCNA. He has more than 1350 research citation indices with Google Scholar (h-index score 18 and i-10 index 34). He has authored more than 100 research papers in reputed conferences and journals, including Web of Science and Scopus. He has authored and edited more than 45 books with various reputed publishers, including Elsevier, Springer, DeGruyter, IET, River Publishers, Apple Academic Press, CRC, Taylor and Francis Group, Scrivener, Wiley, Emerald, NOVA Science, Bentham Books and IGI-Global. He is life member of CSI, ISTE and senior member of IEEE. His research areas include information retrieval, semantic web, ontology engineering, data mining, ad hoc networks, and sensor networks. He received a Young Active Member Award for the year 2012–13 from the Computer Society of India, Best Faculty Award for the year 2017 and Best Researcher Award for the year 2019 from BVICAM, New Delhi.

Murali Raman is currently affiliated with Asia Pacific University of Technology.

Akshat Agrawal completed B.Tech in Computer Science & Engineering from UPTU & M.Tech from USICT, GGSIPU. He is currently pursuing PhD. from GGSIPU, Delhi. He works as an Assistant Professor in Amity School of Engineering & Technology, Amity University Haryana. he has a total of 11 years of teaching & research experience. His major research interests are Artificial Intelligence, Deep Learning & Machine Learning, Artificial Neural Network, Speech processing, and Image processing. He has published a total of 29 research papers in Scopus indexed and reputed refereed international journals. He has guided 20 M.Tech thesis and 42 B.Tech projects. He has been visited as a guest faculty at Technical University Kosice, Slovakia in June 2019. He actively participated in the reviewing process of research papers and book chapters and was a Program Committee member of various Conferences. He has edited one Special Issue on Sustainable technological solutions for next generation intelligent buildings in smart cities for EAI Endorsed Transactions on Smart Cities and One edited book of Wiley Publication.

Meenu Vijarania received her B.Tech degree in Information Technology from MDU university, Haryana in 2005 and M.Tech(I.T) degree from GGSIPU, New Delhi in 2007. She has 8 years of experience in teaching. Since 2011 she is working at Amity University Haryana as faculty in Computer Science Department and Completed PhD in the field of Wireless Ad-hoc Network. Her research area include topics of Wireless Networks and Genetic Algorithm .

Swati Gupta is currently affiliated with K.R. Mangalam University.

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