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Table of Contents
Intro
Preface
Contents
Editors and Contributors
Energy-Aware Resource Scheduling in FoG Environment for IoT-Based Applications
1 Introduction
1.1 Why FoG Computing?
1.2 FoG Application Areas in Smart City
1.3 Motivation
1.4 Contributions
1.5 Organization of Work
2 Need of FoG Computing
2.1 QoS Parameters
3 Energy-Aware Survey in Green-IoT
4 Related Work
4.1 Resource Allocation and Provisioning in Cloud Computing
4.2 Resource Allocation and Provisioning in Fog Computing
5 Energy Resource Scheduling Algorithms and Intersection of Parameters in Smart City (Smart Homes)
6 Future Scope
References
DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments
1 Introduction
2 Motivation Scenario
2.1 Sensing Module
2.2 Data Aggregation Module
2.3 Data Analysis Module
2.4 Decision Making
2.5 Actuation Module
3 Related Work
3.1 Building and Deployed Fog-Based IoT Applications
3.2 Resource Allocation for IoT Applications in Fog Environment
3.3 Service Placement in Fog Environment
3.4 A Qualitative Comparison
4 System Model
4.1 Application Prioritizing Phase
4.2 Node Selection Phase
4.3 IoT Application Placement Flow in Fog Environment
5 Proposed Methodology
5.1 Overview of the Proposed Work
5.2 Functional Details of the Proposed Work
5.3 Deadline-oriented Service Placement Algorithm (DoSP)
6 Performance Evaluation
6.1 System Setup and Parameters
6.2 Experimental Results
7 Conclusion and Future Work
References
Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment
1 Introduction
2 Cloud, Edge and Fog Computing
3 Literature Review
4 Smart Flower Optimization Algorithm
5 Application of SFOA to Task Offloading Problem
6 Simulations and Results
7 Conclusion
References
A Sustainable Energy Efficient IoT-Based Solution for Real-Time Traffic Assistance Using Fog Computing
1 Introduction
1.1 Vehicle Tracking System
1.2 Need of Vehicle Tracking
1.3 Problem Statement
2 Related Work
3 Background
3.1 IoT
3.2 Cloud Computing
3.3 Fog Computing
3.4 Cloud, Fog, and IoT
4 Proposed Architecture
4.1 Problem Formulation and Solution
5 Simulation and Results
6 Conclusion
References
Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities
1 Introduction
2 Overview of Fog Computing
3 Overview of Industry 4.0 and Smart Cities
4 Related Studies
5 A Fog Computing Enabled Smart City
6 Facilitating Industry 4.0 Using Fog Computing Architecture
7 Three-Layered Fog-Based IoT Architecture for Industry 4.0
8 Advantages of Using Fog Computing for Industry 4.0 and Smart Cities
9 Conclusion
References
Preface
Contents
Editors and Contributors
Energy-Aware Resource Scheduling in FoG Environment for IoT-Based Applications
1 Introduction
1.1 Why FoG Computing?
1.2 FoG Application Areas in Smart City
1.3 Motivation
1.4 Contributions
1.5 Organization of Work
2 Need of FoG Computing
2.1 QoS Parameters
3 Energy-Aware Survey in Green-IoT
4 Related Work
4.1 Resource Allocation and Provisioning in Cloud Computing
4.2 Resource Allocation and Provisioning in Fog Computing
5 Energy Resource Scheduling Algorithms and Intersection of Parameters in Smart City (Smart Homes)
6 Future Scope
References
DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments
1 Introduction
2 Motivation Scenario
2.1 Sensing Module
2.2 Data Aggregation Module
2.3 Data Analysis Module
2.4 Decision Making
2.5 Actuation Module
3 Related Work
3.1 Building and Deployed Fog-Based IoT Applications
3.2 Resource Allocation for IoT Applications in Fog Environment
3.3 Service Placement in Fog Environment
3.4 A Qualitative Comparison
4 System Model
4.1 Application Prioritizing Phase
4.2 Node Selection Phase
4.3 IoT Application Placement Flow in Fog Environment
5 Proposed Methodology
5.1 Overview of the Proposed Work
5.2 Functional Details of the Proposed Work
5.3 Deadline-oriented Service Placement Algorithm (DoSP)
6 Performance Evaluation
6.1 System Setup and Parameters
6.2 Experimental Results
7 Conclusion and Future Work
References
Improvement of Task Offloading for Latency Sensitive Tasks in Fog Environment
1 Introduction
2 Cloud, Edge and Fog Computing
3 Literature Review
4 Smart Flower Optimization Algorithm
5 Application of SFOA to Task Offloading Problem
6 Simulations and Results
7 Conclusion
References
A Sustainable Energy Efficient IoT-Based Solution for Real-Time Traffic Assistance Using Fog Computing
1 Introduction
1.1 Vehicle Tracking System
1.2 Need of Vehicle Tracking
1.3 Problem Statement
2 Related Work
3 Background
3.1 IoT
3.2 Cloud Computing
3.3 Fog Computing
3.4 Cloud, Fog, and IoT
4 Proposed Architecture
4.1 Problem Formulation and Solution
5 Simulation and Results
6 Conclusion
References
Analysis on Application of Fog Computing in Industry 4.0 and Smart Cities
1 Introduction
2 Overview of Fog Computing
3 Overview of Industry 4.0 and Smart Cities
4 Related Studies
5 A Fog Computing Enabled Smart City
6 Facilitating Industry 4.0 Using Fog Computing Architecture
7 Three-Layered Fog-Based IoT Architecture for Industry 4.0
8 Advantages of Using Fog Computing for Industry 4.0 and Smart Cities
9 Conclusion
References