Name: Fog Data Analytics for iot Applications: Next Generation Process Model With State of the art Technologies (Studies in big Data, 76) (en Inglés)
Price: 685.82 PEN
Availability: InStock
Author: Tanwar Sudeep
ISBN: 9789811560460

portada Fog Data Analytics for iot Applications: Next Generation Process Model With State of the art Technologies (Studies in big Data, 76) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Tanwar Sudeep

Idioma

Inglés

N° páginas

497

Encuadernación

Tapa Blanda

ISBN13

9789811560460

N° edición

Fog Data Analytics for iot Applications: Next Generation Process Model With State of the art Technologies (Studies in big Data, 76) (en Inglés)

Tanwar Sudeep (Autor) · Springer · Tapa Blanda

Libro Nuevo

S/ 685,82

S/ 1.371,65

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Cantidad
Estado: Nuevo

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Reseña del libro "Fog Data Analytics for iot Applications: Next Generation Process Model With State of the art Technologies (Studies in big Data, 76) (en Inglés)"

This book discusses the unique nature and complexity of fog data analytics (FDA) and develops a comprehensive taxonomy abstracted into a process model. The exponential increase in sensors and smart gadgets (collectively referred as smart devices or Internet of things (IoT) devices) has generated significant amount of heterogeneous and multimodal data, known as big data. To deal with this big data, we require efficient and effective solutions, such as data mining, data analytics and reduction to be deployed at the edge of fog devices on a cloud. Current research and development efforts generally focus on big data analytics and overlook the difficulty of facilitating fog data analytics (FDA). This book presents a model that addresses various research challenges, such as accessibility, scalability, fog nodes communication, nodal collaboration, heterogeneity, reliability, and quality of service (QoS) requirements, and includes case studies demonstrating its implementation. Focusing on FDA in IoT and requirements related to Industry 4.0, it also covers all aspects required to manage the complexity of FDA for IoT applications and also develops a comprehensive taxonomy.