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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Fog Data Analytics for Iot Applications: Next Generation Process Model with State of the Art Technologies

Fog Data Analytics for Iot Applications: Next Generation Process Model with State of the Art Technologies

Tanwar, Sudeep

Hardcover

Series: Studies in Big Data, Book 76

Business GeneralTechnology & EngineeringDatabases

ISBN10: 9811560439
ISBN13: 9789811560439
Publisher: Springer Nature
Published: Aug 26 2020
Pages: 497
Weight: 1.97
Height: 1.13 Width: 6.14 Depth: 9.21
Language: English
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.

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