Edge Computing: Architecture, Module & Applications

Edge Computing: Architecture, Module & Applications explores the transformative role of edge computing in modern systems by bringing computation and data storage closer to the source of data generation. It discusses the foundational principles of edge computing, focusing on reducing latency, improving bandwidth efficiency, and enabling real-time processing. The book examines architectural frameworks, including edge-cloud interaction models, hardware-software integration, and network orchestration techniques. It highlights the modularity of edge systems, emphasizing scalability, adaptability, and deployment in resource-constrained environments, with key technologies like containerization, microservices, and virtualization. Practical applications across industries such as IoT, healthcare, autonomous vehicles, and smart cities are explored, demonstrating how edge computing addresses unique challenges and fosters innovation. This monograph serves as a vital resource for researchers, practitioners, and industry professionals seeking to understand both the theoretical and practical dimensions of edge computing.

Autorentext

R. Aishwarya, Research Scholar & Dr. G. Mathivanan, Professor in Computer Science and Engineering Department at Sathyabama Institute of Science and Technology. Aishwarya specializes in Cloud Computing and earned a gold medal in her postgraduate studies. Mathivanan's research interests include Data Mining, NN and ML & authored many books/articles.

Klappentext

Edge Computing: Architecture, Module & Applications explores the transformative role of edge computing in modern systems by bringing computation and data storage closer to the source of data generation. It discusses the foundational principles of edge computing, focusing on reducing latency, improving bandwidth efficiency, and enabling real-time processing. The book examines architectural frameworks, including edge-cloud interaction models, hardware-software integration, and network orchestration techniques. It highlights the modularity of edge systems, emphasizing scalability, adaptability, and deployment in resource-constrained environments, with key technologies like containerization, microservices, and virtualization. Practical applications across industries such as IoT, healthcare, autonomous vehicles, and smart cities are explored, demonstrating how edge computing addresses unique challenges and fosters innovation. This monograph serves as a vital resource for researchers, practitioners, and industry professionals seeking to understand both the theoretical and practical dimensions of edge computing.