Software Defined Internet of Everything

Foreword
Preface
Contents
Contributors
Part I Internet of Everything and Smart City
	1 Internet of Everything: Background and Challenges
		1.1 Introduction
			1.1.1 Working of IoT
				1.1.1.1 Sensors
				1.1.1.2 Gateway Node
				1.1.1.3 Data Processing and Analysis
				1.1.1.4 End-User
			1.1.2 Internet of Everything
		1.2 Applications of Internet of Everything
		1.3 Challenges of Internet of Everything
		1.4 Conclusion
		References
	2 Smart Cities, Connected World, and Internet of Things
		2.1 Introduction
		2.2 Smart City Integrated Perspective
			2.2.1 Smart City Overview
			2.2.2 Smart Cities Goals and Barriers
			2.2.3 Digitalization and Connected World
		2.3 IoT Enabling Smart Cities
		2.4 Case Studies
		References
Part II Software-Defined Networking
	3 Challenges of Traditional Networks and Development of Programmable Networks
		3.1 Introduction
		3.2 Traditional Network Architecture
			3.2.1 Internet Development History
			3.2.2 Equipment Development History
			3.2.3 Typical Architecture
				3.2.3.1 Home Network
				3.2.3.2 Campus Network
				3.2.3.3 Government Affairs Network
				3.2.3.4 Data Center Network
			3.2.4 Conclusion of Issues
		3.3 SDN Network Architecture
			3.3.1 Development Path
			3.3.2 Definition and Architecture
			3.3.3 Core Technology and Advantages
				3.3.3.1 Core Technology
				3.3.3.2 The Main Advantages
			3.3.4 Industry Chain Analysis
		3.4 Application Scenario Analysis
			3.4.1 Application of SDN in Data Center Network
			3.4.2 Application of SDN in Government and Enterprise Networks
			3.4.3 Application of SDN in Telecom Operator Network
			3.4.4 Application of SDN in Network Virtualization Technology
		3.5 Future and Challenges
			3.5.1 Existing Challenges
				3.5.1.1 Security Issues
				3.5.1.2 Standardization Issues
				3.5.1.3 Performance Issues
			3.5.2 Future Development
		3.6 Conclusion
		References
	4 Architecture and Deployment Models-SDN Protocols, APIs, and Layers, Applications and Implementations
		4.1 Introduction
		4.2 SDN Architecture
		4.3 SDN Protocols
		4.4 Principles of SDN Architecture
		4.5 SDN Tools and Languages
		4.6 SDN Benefits and Application Domains
		4.7 Research Challenges
		References
	5 Network Policies in Software Defined Internet of Everything
		5.1 Introduction
			5.1.1 What are the Network Policies?
			5.1.2 Role and Importance of Network Policies
				5.1.2.1 Business Intent and Agility
				5.1.2.2 Consistent Services
				5.1.2.3 Network Automation
				5.1.2.4 Performance Monitoring
				5.1.2.5 Network Security
		5.2 Types of Network Policies for IoE
			5.2.1 Security and Access Control
			5.2.2 Application and QoS
			5.2.3 Traffic Routing and Service Insertion
			5.2.4 IP-Based Versus Group- or Role-Based
			5.2.5 Standard Usage Policy
			5.2.6 Disaster Recovery Policy
			5.2.7 Backup Policy
			5.2.8 Archiving Policy
			5.2.9 Failover Policy
		5.3 Automation of Network Policies
		5.4 Network Policies in SDN
		5.5 Conflict and Overlapping Among the Network Policies
		5.6 Network Policies Optimization
			5.6.1 Detection and Settlement of Policy Variations
			5.6.2 Fine-Tuning of Goal Policies
		5.7 Conclusion
		References
	6 Analysis of Load Balancing Techniques in Software-Defined Networking
		6.1 Introduction
		6.2 Software-Defined Network
			6.2.1 Types of Software-Defined Network
				6.2.1.1 Centralized SDN
				6.2.1.2 Distributed SDN
				6.2.1.3 Hybrid SDN
		6.3 Techniques for Load Balancing in Software-Defined Network
			6.3.1 Balance the Load by Filtering the Load Based on TCP and UDP 6:10
			6.3.2 Stable the Network by Shifting the Workload from Overloaded Controller to the Underloaded Controllers 6:11
			6.3.3 Balancing of Load by Authentication, Monitoring Load, and Switch Migration 6:12
			6.3.4 Different Services Provided by Supervisor Controller to Local Controller for Load Sharing in Scalable Network 6:13
			6.3.5 Load Balancing by Making Cluster of Controller by Super Controller 6:14
			6.3.6 Lighten Up the Overloaded Controller by Migration of the Switches to Lightly Load by Broadcasting Load Between Controllers 6:15
			6.3.7 Tenant Controllers Are Finding Best Paths by Calculating the Maximum Throughput 6:16
			6.3.8 Balance the Flow of User's Load by a Different Method of Sharing Resources 6:17
			6.3.9 Finding Best Path by Considering Bandwidth and Delay for Cloud Data Centers 6:11
		6.4 Conclusion and Future Work
		References
	7 Analysis of Energy Optimization Approaches in Internet of Everything: An SDN Prospective
		7.1 Introduction
			7.1.1 Applications and Types of IoT
		7.2 Software-Defined Networking
		7.3 Analysis of Various Energy-Efficient Techniques in SDN-Based Environment
		7.4 Conclusion
		References
	8 Network Function Virtualization
		8.1 What Is Network Function Virtualization
		8.2 NFV Architecture and Model
		8.3 NFV Applications and Implementations
		8.4 Resource Allocation in NFV-Enabled Networks
		References
Part III Application of Software-Defined Networking in Cloud Computing
	9 Prospective on Technical Considerations for Edge–Cloud Cooperation Using Software-Defined Networking
		9.1 Introduction
		9.2 Edge Computing
			9.2.1 Technical Challenges for Edge Computing
		9.3 Software-Defined Networking
			9.3.1 Architecture
		9.4 SDN-Edge Cooperation
			9.4.1 Architecture
			9.4.2 A Real Scenario of SDN-IoT-Edge Architecture
			9.4.3 Benefits of Using SDN-IoT-Edge Platform
		9.5 Technical Requirements of SDN-Edge vs Energy Efficiency
		9.6 Stat of the Art
			9.6.1 Cloud Computing
			9.6.2 Edge Computing
			9.6.3 SDN
			9.6.4 SDN-Edge Cooperation
		9.7 Conclusion
		References
	10 Software-Defined Networking in Data Centers
		10.1 Introduction
			10.1.1 Software-Defined Networking: An Overview
			10.1.2 SDN Building Blocks
				10.1.2.1 SDN Switches
				10.1.2.2 SDN Controllers
		10.2 SDN Applications
			10.2.1 Internet of Things
			10.2.2 Home Networks
			10.2.3 Cellular Networks
			10.2.4 Optical Networks
		10.3 Cloud Computing and Challenges
			10.3.1 Cloud Computing and Service Models
			10.3.2 Data Center Networks
			10.3.3 Challenges in Data Center Networks
			10.3.4 SDN in Data Center Networks
		10.4 Routing and Traffic Engineering in Data Center Networks
			10.4.1 Flow Management in Data Center Networks
			10.4.2 Traffic Engineering in Data Center Networks
			10.4.3 Load Balancing in Data Center Networks
			10.4.4 Resource Management in Data Center Networks
			10.4.5 Energy Management in Data Center Networks
		10.5 Conclusions
		References
	11 QoS-Aware Dynamic Flow Management in Software-Defined Data Center Networks
		11.1 Introduction
		11.2 Related Works
		11.3 System Model
		11.4 FASCES: QoS-Aware Dynamic Flow Management Scheme
			11.4.1 Single-Leader-Multiple-Followers Stackelberg Game: The Justification
			11.4.2 Game Formulation
			11.4.3 Existence of Equilibrium
			11.4.4 Proposed Workflow
		11.5 Performance Evaluation
		11.6 Conclusion
		References
Part IV Security and Trust Applications for Software-Defined Networking
	12 Trusted Mechanism Using Artificial Neural Networks in Healthcare Software-Defined Networks
		12.1 Introduction
			12.1.1 Contribution
		12.2 Related Work
		12.3 Proposed Approach
			12.3.1 Back Propagation (BP) Algorithm
		12.4 Performance Evaluation
			12.4.1 Results and Discussion
		12.5 Conclusion
		References
	13 Stealthy Verification Mechanism to Defend SDN Against Topology Poisoning
		13.1 Introduction
		13.2 Related Work
		13.3 Problem Statement
		13.4 Proposed Solution
			13.4.1 Methodology
		13.5 Implementation
			13.5.1 Software-Defined Network Setup
			13.5.2 ESPV Implementation
			13.5.3 Network Topology
		13.6 Results and Analysis
			13.6.1 Performance Analysis
			13.6.2 Resource Consumption by ESPV Scheme
			13.6.3 Applicability of ESPV in Real SDN Cloud Topology
		13.7 Conclusion and Future Work
		References
	14 Implementation of Protection Protocols for Security Threats in SDN
		14.1 Introduction
		14.2 Security Issues
		14.3 Related Work
		14.4 Problem Statement
		14.5 Proposed Solution
		14.6 Implementation
		14.7 Conclusion
		References
Part V Application Use Cases of Software-Defined Networking
	15 SDVN-Based Smart Data Dissemination Model for High-Speed Road Networks
		15.1 Introduction
		15.2 Literature Review
		15.3  The Proposed System Model
			15.3.1 Working Model
			15.3.2 Types of Services Provided by the Centralized Controller
		15.4 Case Study: On-Demand Network Service for High-Speed Vehicles
		15.5 Conclusion
		References
	16 Advanced Deep Learning for Image Processing in Industrial Internet of Things Under Software-Defined Network
		16.1 Introduction
		16.2 Related Works
		16.3 Method
			16.3.1 Architecture and Key Technologies of IIoT
			16.3.2 Dynamic Computing Framework of SDN-Based IIoT
			16.3.3 Application of Software-Defined Internet of Everything
			16.3.4 Image Processing System for Machine Vision of IIoT
			16.3.5 Image Processing Technology Based on Deep Learning
		16.4 Simulation Experiment
		16.5 Results and Discussion
			16.5.1 Comparison of Image Smoothing Technologies Based on Deep Learning
			16.5.2 Classification Effect of Image Processing on Welding Defects in Industrial Production
		16.6 Conclusions
		References
Index