Fog Computing, Deep Learning and Big Data Analytics-Research Directions (eBook)

Dr. Chivukula Sree Rama Prabhu has held prestigious positions with Government of India and various Institutions. He retired as the Director General of National Informatics Centre (NIC) Ministry of Electronics and Information Technology Government of India, New Delhi, and has worked in various capacities at Tata Consultancy Services (TCS), CMC, TES and TELCO (now Tata Motors). He was also an international resource faculty for the Programs of APO (Asian Productivity Organization), and represented India on the International Panel at Venture 2004 held by APO at Osaka, Japan. He taught and researched at the University of Central Florida, Orlando and also had a brief stint as a Consultant to NASA Cape Canaveral. Mr. Prabhu was unanimously elected and served as the Chairman of Computer Society of India (CSI), Hyderabad Chapter. He is presently working as an Advisor at KL University, Vijayawada, Andhra Pradesh and as a Director, Research and Innovation at Keshav Memorial Institute of Technology (KMIT), Hyderabad. He obtained his master’s degree in Electrical Engineering with specialization in Computer Science from the Indian Institute of Technology, Bombay after a bachelor’s degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad in 1976. He has guided a large number of student research projects at master’s level and has published several papers.

1Introduction1.1.A new economy based on IOT emerging by 20151.1.1Emergence of IOT1.1.2Smart Cities and IOT1.1.3Stages of IOT and Stakeholders1.1.3.1Stages of IOT1.1.3.2Stakeholders1.1.3.3Practical Down Scaling1.1.4Analytics1.1.5Analytics from the Edge to Cloud [179]1.1.6Security and Privacy Issues and Challenges in Internet of Things (IOT)1.1.7Access1.1.8Cost Reduction1.1.9Opportunities and Business Model1.1.10Content and Semantics1.1.11Data based Business models coming out of IOT1.1.12Future of IOT1.1.12.1Technology Drivers1.1.12.2Future possibilities1.1.12.3Challenges and Concerns1.1.13Big Data Analytics and IOT1.1.13.1Infrastructure for integration of Big Date with IOT1.2The Technological challenges of an IOT driven Economy1.3Fog Computing Paradigm as a solution1.4Definitions of Fog Computing1.5Characteristics of Fog computing1.6Architectures of Fog computing1.6.1Cloudlet Architecture1.6.2IoX Architecture1.6.3Local Grid’s Fog Computing platform1.6.4Parstream1.6.5Para Drop1.6.6Prismatic Vortex1.7Designing a robust Fog computing platform1.8Present challenges in designing Fog Computing Platform1.9Platform and Applications1.9.1Components of Fog Computing Platform1.9.2Applications and case studies1.9.2.1Health data management and Health care1.9.2.2Smart village health care1.9.2.3Smart home1.9.2.4Smart vehicle and vehicular fog computing1.9.2.5Augmented Reality applications2.Fog Application management2.1Introduction2.2Application Management Approaches2.3Performance2.4Latency Aware Application Management2.5Distributed Application Development in Fog2.6Distributed Data flow approach2.7Resource Coordination Approaches3Fog Analytics3.1Introduction3.2Fog Computing3.3Stream data processing3.4Stream Data Analytics and Fog computing3.4.1Machine Learning for Big Data Stream data and Fog Analytics3.4.1.1Supervised Learning3.4.1.2Distributed Decision Trees3.5.1.3Clustering Methods for Big Data3.4.1.4Distributed Parallel Association Rule Mining Techniques for Big Data Scenario3.4.1.5Dynamic Association Mining3.4.2Deep Learning Techniques3.4.3Applications of Deep Learning in Big Data Analytics3.4.3.1Semantic Indexing3.4.3.2Discriminative Tasks and Semantic Tagging3.4.4.Deep Learning Challenges in Big Data Analytics3.4.4.1Incremental Learning for Non-Stationary Data3.4.4.2High-Dimensional Data3.4.4.3Large-Scale Models3.5Different Approaches of Fog Analytics3.6Comparision3.7Cloud Solutions for the Edge Analytics4Fog Security and Privary4.1Introduction4.2Secure Communications in Fog Computing4.3Authentication4.4Privacy Issues4.5User Behaviour Profiling4.6Dynamic Fog Nodes and EUs4.7Malicious Attacks4.8Malicious Insider in the Cloud4.9Man in the Middle Attack4.10Secured Multi-Tenancy4.11Backup and Recovery5Research Directions6CONCLUSIONReferences