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Details
Table of Contents
Intro
Organizing Committee
Keynotes
Preface
Contents
Editors and Contributors
Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges, and Applications
1 Introduction
2 Challenges in Cloud-IoT Computing Paradigm
3 Fog Computing Architecture for IoT
4 Related Work
5 Fog Computing Challenges
6 Fog-Supported IoT Applications
7 Conclusions
References
Security and Challenges for Blockchain Integrated Fog-Enabled IoT Applications
1 Introduction
2 Literature Review
3 Analyses of the Area of Fog-IoT Applications
3.1 Industrial IoT (IIoT)
3.2 Surveillance in the Smart Cities
3.3 Smart Power Grid
3.4 Intelligent Transport System
3.5 Intelligent Health Services
4 Blockchain Integrated Fog-IoT Architecture
4.1 IoT Device with Blockchain Layer
4.2 Edge with Blockchain Layer
4.3 Cloud with Blockchain Layer
5 Challenges in the Blockchain Integrated Fog-IoT Applications
5.1 Adaptability
5.2 Complexity
5.3 Dynamicity
5.4 Latency
5.5 Safety
6 Discussion and Future Scope
7 Conclusions
References
MLP Deep Learning-based DDoS Attack Detection Framework for Fog Computing
1 Introduction
2 Related Work
3 Methodology
3.1 Network Model
3.2 Attack Model
3.3 Attack Detection Framework
4 Overview of Dataset
5 Results and Discussion
5.1 Simulation Setup
5.2 Results
6 Conclusion
References
Active VM Placement Approach Based on Energy Efficiency in Cloud Environment
1 Introduction and Motivation
1.1 Contribution
2 Problem Statement
3 Proposed Algorithm for Multi-objective VM Placement
4 Performance Evaluation
5 Conclusion and Future Scope
2 System Architecture
3 Proposed Scheme
3.1 System Initialization
3.2 User Registration
3.3 Login and Authentication Phase
4 Informal Security Analysis
5 Performance Comparison
6 Conclusion
References
FML Framework: Function-Triggered ML-as-a-Service for IoT Cloud Applications
1 Introduction
2 Related Work
3 FML Framework
4 ML-as-a-Service-Hosted Services and Processes
4.1 ML-Algorithms
4.2 Processing Stages
4.3 Hosting ML-as-a-Service
5 Experimental Results
5.1 Experimental Setup
5.2 FML-Time Efficiency
5.3 FML-Cost Efficiency
Organizing Committee
Keynotes
Preface
Contents
Editors and Contributors
Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges, and Applications
1 Introduction
2 Challenges in Cloud-IoT Computing Paradigm
3 Fog Computing Architecture for IoT
4 Related Work
5 Fog Computing Challenges
6 Fog-Supported IoT Applications
7 Conclusions
References
Security and Challenges for Blockchain Integrated Fog-Enabled IoT Applications
1 Introduction
2 Literature Review
3 Analyses of the Area of Fog-IoT Applications
3.1 Industrial IoT (IIoT)
3.2 Surveillance in the Smart Cities
3.3 Smart Power Grid
3.4 Intelligent Transport System
3.5 Intelligent Health Services
4 Blockchain Integrated Fog-IoT Architecture
4.1 IoT Device with Blockchain Layer
4.2 Edge with Blockchain Layer
4.3 Cloud with Blockchain Layer
5 Challenges in the Blockchain Integrated Fog-IoT Applications
5.1 Adaptability
5.2 Complexity
5.3 Dynamicity
5.4 Latency
5.5 Safety
6 Discussion and Future Scope
7 Conclusions
References
MLP Deep Learning-based DDoS Attack Detection Framework for Fog Computing
1 Introduction
2 Related Work
3 Methodology
3.1 Network Model
3.2 Attack Model
3.3 Attack Detection Framework
4 Overview of Dataset
5 Results and Discussion
5.1 Simulation Setup
5.2 Results
6 Conclusion
References
Active VM Placement Approach Based on Energy Efficiency in Cloud Environment
1 Introduction and Motivation
1.1 Contribution
2 Problem Statement
3 Proposed Algorithm for Multi-objective VM Placement
4 Performance Evaluation
5 Conclusion and Future Scope
2 System Architecture
3 Proposed Scheme
3.1 System Initialization
3.2 User Registration
3.3 Login and Authentication Phase
4 Informal Security Analysis
5 Performance Comparison
6 Conclusion
References
FML Framework: Function-Triggered ML-as-a-Service for IoT Cloud Applications
1 Introduction
2 Related Work
3 FML Framework
4 ML-as-a-Service-Hosted Services and Processes
4.1 ML-Algorithms
4.2 Processing Stages
4.3 Hosting ML-as-a-Service
5 Experimental Results
5.1 Experimental Setup
5.2 FML-Time Efficiency
5.3 FML-Cost Efficiency