Advances in Distributed Computing and Machine Learning: Proceedings of ICADCML 2021

This book highlights recent advancements in scalable distributed computing, including cloud computing, IoT, and blockchain, with applications in data analytics, AI, and machine learning.

Format: Paperback / softback
Length: 513 pages
Publication date: 20 December 2022
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the latest developments in scalable distributed computing, encompassing cutting-edge research in cloud computing, the Internet of Things (IoT), and blockchain in distributed systems. It also presents applications and insights in diverse domains such as data analytics, artificial intelligence (AI), and machine learning, aimed at tackling complex real-world challenges. The book features a selection of high-quality research papers presented at the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research (ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

The field of scalable distributed computing has witnessed remarkable advancements in recent years, driven by the rapid growth of cloud computing, the Internet of Things (IoT), and blockchain technologies. These innovations have opened up new possibilities for efficient and decentralized computing, enabling the processing and analysis of vast amounts of data and the development of intelligent systems that can solve complex problems.

In this book, we explore the latest research and applications in these fields, covering a wide range of topics such as cloud computing architectures, distributed data storage and processing, IoT ecosystems, blockchain consensus algorithms, and their applications in various industries. We also discuss the challenges and opportunities associated with these technologies, including security, privacy, and scalability.

The book is organized into five chapters, each dedicated to a specific aspect of scalable distributed computing. The first chapter provides an introduction to the field, highlighting its importance and the challenges it faces. The second chapter explores cloud computing, covering topics such as cloud computing architectures, virtualization, and resource management. The third chapter focuses on distributed data storage and processing, discussing distributed file systems, data replication, and data synchronization. The fourth chapter explores blockchain technology, covering its principles, applications, and challenges. The fifth chapter discusses applications and findings in data analytics, AI, and machine learning, highlighting their role in solving complex real-world problems.

Each chapter includes a selection of high-quality research papers presented at the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021). These papers represent the latest research in the field and cover a wide range of topics, from theoretical studies to practical implementations. The papers are written by experts in the field and provide valuable insights into the current state-of-the-art in scalable distributed computing.

This book is intended for researchers, practitioners, and students interested in scalable distributed computing, cloud computing, IoT, blockchain, data analytics, AI, and machine learning. It provides a comprehensive overview of the latest developments in the field and serves as a valuable resource for anyone seeking to stay up-to-date with the latest trends and advancements.

In conclusion, this book presents the latest advances in scalable distributed computing, encompassing state-of-the-art research in cloud computing, IoT, and blockchain in distributed environments along with applications and findings in broad areas including Data Analytics, AI, and Machine Learning. It features selected high-quality research papers from the 2nd International Conference on Advances in Distributed Computing and Machine Learning (ICADCML 2021), organized by the Department of Computer Science and Information Technology, Institute of Technical Education and Research (ITER), Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India.

Weight: 825g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811648090
Edition number: 1st ed. 2022