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 /

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Bibliographic Details
Imprint:Singapore : Springer, [2020]
Description:1 online resource.
Language:English
Series:Studies in Big Data ; volume 76
Studies in big data ; v.76.
Subject:
Internet of things.
Big data.
Cloud computing.
Big data.
Cloud computing.
Internet of things.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12607330
Hidden Bibliographic Details
Other authors / contributors:Tanwar, Sudeep, editor.
ISBN:9789811560446
9811560447
9811560439
9789811560439
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Description based on online resource; title from digital title page (viewed on October 06, 2020).
Summary: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.
Other form:Original 9811560439 9789811560439
Standard no.:10.1007/978-981-15-6
10.1007/978-981-15-6044-6.
Table of Contents:
  • Introduction
  • Introduction to Fog data analytics for IoT applications
  • Fog Data Analytics: Systematic Computational Classification and Procedural Paradigm
  • Fog Computing: Building a Road to IoT with Fog Analytics
  • Data Collection in Fog Data Analytics
  • Mobile FOG Architecture Assisted Continuous Acquisition of Fetal ECG Data for Efficient Prediction
  • Proposed Framework for Fog Computing to Improve Quality-of-Service in IoT applications
  • Fog Data Based Statistical Analysis to Check Effects of Yajna and Mantra Science: Next Generation Health Practices
  • Process Model for Fog Data Analytics for IoT Applications
  • Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of Things.

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