Téléchargez le livre : Fog Data Analytics for IoT Applications

Fog Data Analytics for IoT Applications

Next Generation Process Model with State of the Art Technologies de

Éditeur :

Springer


Collection :

Studies in Big Data

Paru le : 2020-08-25

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Description
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 FDAin 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.
Pages
497 pages
Collection
Studies in Big Data
Parution
2020-08-25
Marque
Springer
EAN papier
9789811560439
EAN PDF
9789811560446
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
16302 Ko
Prix
126,59 €
EAN EPUB
9789811560446
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
49
Taille du fichier
68680 Ko
Prix
126,59 €

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