Master the construction of robust distributed systems with this technical roadmap, providing the large-scale algorithms and synchronization protocols needed to power a seamless, low-latency metaverse.

The metaverse is becoming an increasingly popular space for a number of industries, including gaming, healthcare, education, and social media. As the use of this technology grows, so do concerns about data management and privacy. This book is a discussion and analysis of this technology and the methods needed to construct and improve distributed systems in the metaverse. It discusses the creation of large-scale algorithms and protocols aimed at furthering interactions in immersive virtual environments. Through a clear explanation of the dependence on more efficient, secure, and distributed systems to support the metaverse, this book explains how data can be synchronized and securely stored across different platforms, allowing for real-time interconnectivity with relatively low delay in transfer. The book also takes a closer look at security and privacy concerns in distributed metaverse systems, including privacy-preserving methods, decentralized identity solutions, and sustainable methods of authentication. Providing case studies, simulation results, and real examples, this book offers a theoretical background with practical guidelines, enabling readers to address challenges and seize the potential of distributed systems in the metaverse.

Abhishek Kumar, PhD is an Assistant Director and Associate Professor in the Computer Science and Engineering Department at Chandigarh University. He has published more than 100 publications in reputed, peer-reviewed national and international journals, books, and conferences. His research includes artificial intelligence, renewable energy image processing, computer vision, data mining, and machine learning.

Sashi Tarun, PhD is an Associate Professor at Eternal University with more than 11 years of experience. He has more than ten publications in international journals and conferences. His research focuses on distributed systems, including fragmentation, allocation, replication, and deduplication.

Anita Sardana, PhD is an Assistant Professor in the Computer Science and Engineering Department at the Jaypee University of Information Technology. She has more than 20 research publications in reputed journals and conferences and has filed nine Indian design patents. Her research interests include machine learning, cloud computing, and agile software development.

Abhineet Anand, PhD is the Director in the Department of Artificial Intelligence Technology and Computer Science Engineering at Chandigarh University with more than 22 years of experience. He has published more than 40 papers in international journals and conferences. His research interests include cloud computing, load balancing, nearest neighbor methods, clustering, and optical fiber switching in wavelength multiplexing.