Decentralized Systems and Distributed Computing
- 6h 25m
- Namrata Dhanda, Sandhya Avasthi, Satya Bhushan Verma, Suman Lata Tripathi
- John Wiley & Sons (US)
- 2024
This book provides a comprehensive exploration of next-generation internet, distributed systems, and distributed computing, offering valuable insights into their impact on society and the future of technology.
The use of distributed systems is a big step forward in IT and computer science. As the number of tasks that depend on each other grows, a single machine can no longer handle all of them. Distributed computing is better than traditional computer settings in several ways. Distributed systems reduce the risks of a single point of failure, making them more reliable and able to handle mistakes. Most modern distributed systems are made to be scalable, which means that processing power can be added on the fly to improve performance. The internet of the future is meant to give us freedom and choices, encourage diversity and decentralization, and make it easier for people to be creative and do research. By making the internet more three-dimensional and immersive, the metaverse could introduce more ways to use it. Some people have expressed negative things about the metaverse, and there is much uncertainty regarding its future. Analysts in the field have pondered if the metaverse will differ much from our current digital experiences, and if so, whether people will be willing to spend hours per day exploring virtual space while wearing a headset. This book will look at the different aspects of the next-generation internet, distributed systems, distributed computing, and their effects on society as a whole.
About the Author
Sandhya Avasthi, PhD, is an assistant professor in the Computer Science and Engineering Department at ABES Engineering College, Dr. Abdul Kalam Technical University, Ghaziabad, India. She has more than 17 years of teaching experience and is an active researcher in the field of machine learning and data mining. She has published numerous research articles in international journals, conference proceedings, and book chapters. She is associated as senior member the Institute of Electrical and Electronics Engineers and the Association for Computing Machinery and is continuously involved in different professional activities along with academic work.
Suman Lata Tripathi, PhD, is a professor at Lovely Professional University with more than 17 years of experience in academics. She has published more than 89 research papers, as well as 13 Indian patents and 4 copyrights. She has organized several workshops, summer internships, and expert lectures for students and has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in national and international journals and conferences. She has edited and authored more than 14 books and one book series in different areas of electronics and electrical engineering.
Namrata Dhanda, PhD, is a professor in the Department of Computer Science and Engineering at Amity University, Uttar Pradesh, Lucknow. She has over 21 years of experience teaching graduate and post-graduate students. Currently, she is guiding a large number of PhD scholars working in the domains of machine learning, data science, and big data analytics. Additionally, she has more than 50 papers published in reputed journals, national and international conferences, and book chapters.
Satya Bhushan Verma, PhD, is working as an associate professor and head of the Department of Computer Science and Engineering, Institute of Technology in Shri Ramswaroop Memorial University Lucknow-Deva Road, India. He has five years of teaching experience at the undergraduate and post graduate levels, as well as research experience. Additionally, he has been actively involved in a number of international committees as an abstract reviewer, workshop reviewer, and panel reviewer and has published several research papers in various journals, conferences, and symposia of national and international recognition.
In this Book
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Introduction to Next-Generation Internet and Distributed Systems
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Decentralized System in Education and Research
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Architecture of Blockchain-Enabled Decentralized Systems
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Mobile Edge Computing for Decentralized Systems
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Blockchain in Education
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Pattern Recognition Applications in Distributed Systems and Distributed Machine Learning
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Next-Generation Distributed Computing for Cancer Detection
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Benefits and Challenges of Decentralization in Education for Resource Optimization and Improved Performance
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Blockchain in Data Security and Transparency in Business Transactions
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A Comparative Study of Ad Hoc and Wireless Sensor Networks
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Content Filtering-Based Movie Recommendation System Using Deep Learning
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Mobile Edge Computing: A Paradigm Shift in Computing
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Descriptive Analysis of the Potential of 5G Technologies in Empowering Decentralized Systems
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Merging Blockchain and Deep Learning for Authentication and Security Architectures
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5G Embedded Decentralized Systems for Secure and Efficient Data Sharing
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Artificial Intelligence in a Distributed System of the Future
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The Metaverse and Mental Health: The Future
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Decentralization in Education Governance: A Case Study of India
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