Description
Distributed computing has emerged as a fundamental paradigm in modern computing,
enabling the seamless integration of multiple interconnected systems to work collaboratively
toward common computational goals. With the rapid expansion of data-intensive applications,
cloud infrastructures, and real-time processing requirements, distributed systems have
become essential in addressing scalability, reliability, and performance challenges across
diverse domains.
This book, titled Distributed Computing, presents a comprehensive exploration of the
principles, architectures, and advancements that define this dynamic field. It covers key
concepts such as distributed system models, communication protocols, data consistency, fault
tolerance, and resource management, while also highlighting emerging technologies
including edge computing, federated learning, and decentralized intelligence. The aim is to
provide readers with both theoretical foundations and practical insights necessary to
understand and design efficient distributed systems.
The content of this book is structured to benefit a wide range of readers, including researchers,
academicians, postgraduate students, and industry professionals. Each chapter is contributed
by experts who bring diverse perspectives and innovative approaches, reflecting the
interdisciplinary nature of distributed computing. Real-world applications and case studies
are incorporated to bridge the gap between theory and practice.
