6G Enabled Fog Computing in IoT Applications and Opportunities

The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications. The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog comput...

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Bibliographic Details
Other Authors: Kumar, Mohit (Editor), Gill, Sukhpal Singh (Editor), Samriya, Jitendra Kumar (Editor), Uhlig, Steve (Editor)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Section 1: Applications
  • Chapter 1: AI Enabled resources scheduling in Cloud Paradigm
  • Chapter 2: Role of AI for Data Security and Privacy in 5G Healthcare Informatics
  • Chapter 3: GPU based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions
  • Chapter 4: Air Quality Index Prediction Using Various Machine Learning Algorithms
  • Chapter 5: Leveraging Cloud Native Microservices Architecture for High Performance Real-Time Intra-day Trading: A Tutorial
  • Chapter 6: HypEdge: Intelligent Sensing of Diabetes Mellitus in Healthcare 4.0 on the Cloud
  • Section 2: Architecture, Systems and Services
  • Chapter 7: Efficient Resource Allocation in Virtualized Cloud Platforms using Encapsulated Virtualization based Ant Colony Optimization (EVACO)
  • Chapter 8: Authenticated, Secured, Intelligent and Assisted Medicine Dispensing Machine for Elderly Visual Impaired People
  • Chapter 9: Prediction of Liver DiseaseUsing Soft Computing and Data Science Approaches
  • Chapter 10: Artificial Intelligence based Transfer Learning approach in Identifying and Detecting Covid-19 Virus from CT-Scan Images
  • Chapter 11: Blockchain-based Medical Report Management and Distribution System
  • Chapter 12: Design of 3-D Pipe Routing for Internet of Things Networks Using Genetic Algorithm
  • Section 3: Further Reading
  • Chapter 13: Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges
  • Chapter 14: The role of machine learning in the advancement of 6G technology: opportunities and challenges
  • Chapter 15: A Comprehensive Survey on Network Resource management in SDN Enabled Data Center Network
  • Chapter 16: Artificial Intelligence Advancement For 6G Communication: A Visionary Approach
  • Chapter 17: AI meets SDN: A survey of Artificial Intelligent techniques applied to Software-Defined Networks