Handbook of Research on Cloud Computing and Big Data Applications in IoT

Handbook of Research on Cloud Computing and Big Data Applications in IoT
PDF
  • eBook:
    Handbook of Research on Cloud Computing and Big Data Applications in IoT
  • Author:
    B. B. Gupta, Dharma P. Agrawal
  • Edition:
    1 edition
  • Categories:
  • Data:
    April 12, 2019
  • ISBN:
    1522584072
  • ISBN-13:
    9781522584070
  • Language:
    English
  • Pages:
    609 pages
  • Format:
    PDF

Book Description
Today, cloud computing, big data, and the internet of things (IoT) are becoming indubitable parts of modern information and communication systems. They cover not only information and communication technology but also all types of systems in society including within the realms of business, finance, industry, manufacturing, and management. Therefore, it is critical to remain up-to-date on the latest advancements and applications, as well as current issues and challenges.
The Handbook of Research on Cloud Computing and Big Data Applications in IoT is a pivotal reference source that provides relevant theoretical frameworks and the latest empirical research findings on principles, challenges, and applications of cloud computing, big data, and IoT. While highlighting topics such as fog computing, language interaction, and scheduling algorithms, this publication is ideally designed for software developers, computer engineers, scientists, professionals, academicians, researchers, and students.

Content

Chapter 1. Resource Management and Scheduling for Big Data Applications in Cloud Computing Environments
Chapter 2. On the Use of System-Level Benchmarks for Comparing Public Cloud Environments
Chapter 3. Adversarial Attacks and Defense on Deep Learning Models for Big Data and IoT
Chapter 4. Big Data Analytics: Applications, Trends, Tools, and Future Research Directions
Chapter 5. Tier Application in Multi-Cloud Databases to Improve Security and Service Availability
Chapter 6. Achieving Secure and Privacy-Preserving in Mobile Social Networks
Chapter 7. Adversarial Attacks and Defenses in Malware Detection Classifiers
Chapter 8. A Privacy-Preserving Feature Extraction Method for Big Data Analytics Based on Data-Independent Reusable Projection
Chapter 9. An API for Development of User-Defined Scheduling Algorithms in Aneka PaaS Cloud Software: User Defined Schedulers in Aneka PaaS Cloud Software
Chapter 10. A Cloud-Based Patient Health Monitoring System Using the Internet of Things
Chapter 11. Statistical Modelling and Analysis of the Computer-Simulated Datasets
Chapter 12. Evaluation of Reliable Data Storage in Cloud Using an Efficient Encryption Technique
Chapter 13. Enabling Technologies for IoT: Issues, Challenges, and Opportunities
Chapter 14. A System for Natural Language Interaction With the Heterogeneous Information Network
Chapter 15. Fog Computing: Concepts, Applications, and Countermeasures Against Security Attacks
Chapter 16. Survey on Industrial Internet of Things (IoT) Threats and Security
Chapter 17. Chaos Theory and Systems in Cloud Content Security
Chapter 18. A Study on Recent Trends in Cloud-Based Data Processing for IoT Era
Chapter 19. A Perspective on Using Blockchain for Ensuring Security in Smart Card Systems
Chapter 20. Delay Tolerant Networks: Architecture, Routing, Congestion, and Security Issues
Chapter 21. The Impact of Internet of Things Self-Security on Daily Business and Business Continuity
Chapter 22. Survey on Various MapReduce Scheduling Algorithms
Chapter 23. Software-Defined Networks (SDN): A Survey

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