Name: Edge Deep Learning and Computational Offloading in IoT Systems
SKU: 68922688
Price: 37.49 USD
Availability: InStock
Author: Franklin
ISBN: 9798182701143

portada Edge Deep Learning and Computational Offloading in IoT Systems

Edge Deep Learning and Computational Offloading in IoT Systems

Formato

Libro Físico

Editorial

Pippet Sky

Autor

Franklin

Encuadernación

Tapa Blanda

ISBN13

9798182701143

Edge Deep Learning and Computational Offloading in IoT Systems

Franklin (Autor) · Pippet Sky · Tapa Blanda

Libro Nuevo Importado

Envío: 17 a 23 días háb.

$ 74.98$ 37.49

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 37.49

Llega entre el 28 Oct y el 11 Nov a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Edge Deep Learning and Computational Offloading in IoT Systems"

Edge Deep Learning and Computational Offloading in IoT Systems examines the integration of deep learning, edge computing, and computational offloading for intelligent Internet of Things environments. The book explores how machine learning workloads can be processed closer to IoT devices to reduce dependence on centralized computing resources and support efficient data processing. It introduces key concepts in edge intelligence, deep neural networks, IoT architectures, distributed computing, and computational offloading. Attention is given to the relationship between device capabilities, workload distribution, communication requirements, latency, energy consumption, and computational resources. The discussion considers approaches for assigning computational tasks between IoT devices, edge nodes, and other computing resources while supporting the execution of deep learning workloads. It also addresses important considerations in system design, including resource management, processing efficiency, network constraints, and performance evaluation. The book provides a technical foundation for students, researchers, computer engineers, network professionals, and practitioners working in edge computing, artificial intelligence, distributed systems, and IoT technologies.