<p><p>This book covers the latest advances in Big Data technologies and provides the readers with a comprehensive review of the state-of-the-art in Big Data processing, analysis, analytics, and other related topics. It presents new models, algorithms, software solutions and methodologies, covering t
Fog Data Analytics for IoT Applications: Next Generation Process Model with State of the Art Technologies
β Scribed by Sudeep Tanwar
- Publisher
- Springer Singapore;Springer
- Year
- 2020
- Tongue
- English
- Leaves
- 501
- Series
- Studies in Big Data 76
- Edition
- 1st ed.
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter ....Pages i-xv
Front Matter ....Pages 1-1
Introduction (Aparna Kumari, Rajesh Gupta, Sudeep Tanwar)....Pages 3-17
Introduction to Fog Data Analytics for IoT Applications (Puneet Kansal, Dilip Sharma, Manoj Kumar)....Pages 19-38
Fog Data Analytics: Systematic Computational Classification and Procedural Paradigm (D. Pradeep Kumar, R. Hanumantharaju, B. J. Sowmya, K. N. Shreenath, K. G. Srinivasa)....Pages 39-58
Fog Computing: Building a Road to IoT with Fog Analytics (Avinash Kaur, Parminder Singh, Anand Nayyar)....Pages 59-78
Data Collection in Fog Data Analytics (S. R. Mani Sekhar, Snehil Tewari, Haaris Rahman, G. M. Siddesh)....Pages 79-104
Front Matter ....Pages 105-105
Mobile FOG Architecture Assisted Continuous Acquisition of Fetal ECG Data for Efficient Prediction (Anupam Bhardwaj, Pooja Khanna, Sachin Kumar)....Pages 107-122
Proposed Framework for Fog Computing to Improve Quality-of-Service in IoT Applications (Rakhi Akhare, Monika Mangla, Sanjivani Deokar, Vaishali Wadhwa)....Pages 123-143
Fog Data Based Statistical Analysis to Check Effects of Yajna and Mantra Science: Next Generation Health Practices (Rohit Rastogi, Mamta Saxena, D. K. Chaturvedi, Santosh Satya, Navneet Arora, Mayank Gupta et al.)....Pages 145-172
Front Matter ....Pages 173-173
Process Model for Fog Data Analytics for IoT Applications (Anjali Modi, Shreena Jani, Karansingh Chauhan, Jitendra Bhatia)....Pages 175-198
Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of Things (Himani Bedekar, Gahangir Hossain, Ayush Goyal)....Pages 199-262
Application of IoT-Based Smart Devices in Health Care Using Fog Computing (Satyasundara Mahapatra, Anupam Singh)....Pages 263-278
Data Reduction Techniques in Fog Data Analytics for IoT Applications (Srinidhi Hiriyannaiah, Zaifa Khan, Aniket Singh, G. M. Siddesh, K. G. Srinivasa)....Pages 279-309
Front Matter ....Pages 311-311
Background and Research Challenges for Fog Data Analytics and IoT (Ansh Riyal, Geetansh Kumar, Deepak Kumar Sharma)....Pages 313-340
Behavior-Based Approach for Fog Data Analytics: An Approach Toward Security and Privacy ( Urvashi, Lalit K. Awasthi, Geeta Sikka)....Pages 341-354
Data Security and Privacy Functions in Fog Data Analytics (Apoorva Bhagat, Srishty Mittal, Uzma Faiz, Deepak Kumar Sharma)....Pages 355-385
Data Security and Privacy Functions in Fog Computing for Healthcare 4.0 (Darpan Anand, Vineeta Khemchandani)....Pages 387-420
Front Matter ....Pages 421-421
Fog Data Analytics and Healthcare 4.0 (Madhurima Hooda, Shashwat Pathak, Shreyans Pathak)....Pages 423-443
Fog Data Processing and Analytics for Health Care-Based IoT Applications (Tarjni Vyas, Shivani Desai, Anand Ruparelia)....Pages 445-469
The Importance of Fog Computing for Healthcare 4.0-Based IoT Solutions (U. Hariharan, K. Rajkumar)....Pages 471-494
Conclusion (Rajesh Gupta, Aparna Kumari, Sudeep Tanwar)....Pages 495-497
β¦ Subjects
Engineering; Computational Intelligence; Big Data; Big Data/Analytics; Information Systems Applications (incl.Internet)
π SIMILAR VOLUMES
<p><p>This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupe
<p><P>This book provides a new grade methodology for intelligent data analysis. It introduces a specific infrastructure of concepts needed to describe data analysis models and methods. This monograph is the only book presently available covering both the theory and application of grade data analysis
Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry
<p><span>This book brings to readers thirteen chapters with contributions to the benefits of using IoT and Cloud Computing to agro-ecosystems from a multi-disciplinary perspective. IoT and Cloud systems have prompted the development of a Cloud digital ecosystem referred to as </span><span>Cloud-to-t