Edge Computing: Architecture, Module & Applications

R. Aishwarya

ISBN 10: 620302614X / ISBN 13: 9786203026146

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9786203026146

Bibliographic Details

• Title: Edge Computing: Architecture, Module & Applications
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 620302614X
• ISBN 13: 9786203026146
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 262 grams

About this title

Synopsis

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.