Forwarding Plane in NDN

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Table of contents

1 Introduction 
1.1 Scope
1.2 Problem Statement and Objectives
1.3 Dissertation Contributions
1.4 Dissertation Organization
2 Information Centric Networks 
2.1 Introduction
2.2 ICN Fundamental Architectures
2.2.1 DONA
2.2.1.1 Naming
2.2.1.2 Name Resolution and Data Routing
2.2.1.3 Security
2.2.1.4 Transport
2.2.1.5 Caching
2.2.1.6 Mobility
2.2.2 PURSUIT (PSIRP)
2.2.2.1 Naming
2.2.2.2 Name Resolution and Data Routing
2.2.2.3 Security
2.2.2.4 Transport
2.2.2.5 Caching
2.2.2.6 Mobility
2.2.3 NetInf
2.2.3.1 Naming
2.2.3.2 Security
2.2.3.3 Transport
2.2.3.4 Caching
2.2.3.5 Mobility
2.2.4 MobilityFirst
2.2.4.1 Naming
2.2.4.2 Name Resolution and Data Routing
2.2.4.3 Security
2.2.4.4 Caching
2.2.4.5 Mobility
2.2.5 Named Data Networking
2.2.5.1 NDN node architecture
2.2.5.2 Forwarding Process
2.2.5.3 Naming
2.2.5.4 Security
2.2.5.5 Transport
2.2.5.6 Caching
2.2.5.7 Mobility
2.3 Comparison between the various approaches
2.4 Conclusion
3 RelatedWork 
3.1 Introduction
3.2 Traditional Routing in IP
3.3 Routing Plane in NDN
3.4 Forwarding Plane in NDN
3.5 Routing and Forwarding Coordination in NDN
3.6 Building the FIB table
3.7 NDN Routing Protocols: a survey
3.7.1 OSPFN: OSPF for Named Data Networking
3.7.2 NLSR: NDN Link State Routing
3.7.3 Hyperbolic routing
3.8 QoS based routing in NDN network
3.8.1 Problem Formulation
3.9 Forwarding Strategies: a Survey
3.9.1 High level taxonomy
3.9.1.1 Forwarding strategies that handle the network failure
3.9.1.2 Forwarding strategies that handle the caching issue
3.9.1.3 Forwarding strategies that handle the security issue
3.9.1.4 Forwarding strategies that handle the congestion issue
3.9.1.5 Forwarding strategies with QoS
3.9.1.6 Hybrid forwarding strategies
3.10 Conclusion
4 QoS-based Forwarding Strategy for NDN 
4.1 Introduction
4.2 Reinforcement Learning
4.2.1 Mathematical Model of Reinforcement Learning
4.2.2 Value functions
4.2.3 Rewards
4.2.4 Definitions of functions of V-value and Q-value
4.2.5 Value function and optimal policy
4.2.6 Q-Learning
4.3 Our proposal: the QoS forwarding strategy
4.3.1 Functional Model
4.3.2 Designing the QoS forwarding strategy
4.3.2.1 Criterion 1: Bandwidth
4.3.2.2 Criterion 2: Round Trip Time (RTT)
4.3.2.3 Exploration and exploitation phases
4.3.2.4 Forwarding decision-making algorithms
4.4 Performance Evaluation
4.5 Conclusion
5 Ant Colony based QoS aware Forwarding Strategy for NDN 
5.1 Introduction
5.2 Ant colony optimization
5.2.1 Meta-heuristic optimization
5.2.2 Ant colony algorithms principles
5.2.3 Ant system
5.2.4 Ant Colony System (ACS)
5.3 Our Proposal: the Ant Colony Based QoS-aware Forwarding Strategy
5.3.1 Designing AC-QoS-FS
5.3.1.1 Criterion 1: Bandwidth
5.3.1.2 Criterion 2: Cost
5.3.1.3 Criterion 3: Round Trip Time (RTT)
5.3.1.4 The moving rule
5.3.1.5 Pheromone update
5.3.2 Forwarding decision-making algorithms
5.3.2.1 After receiving an Interest
5.3.2.2 After receiving a Data packet
5.4 Performance Evaluation
5.5 Conclusion
6 Multi-Criteria QoS-based Forwarding Strategy for NDN
6.1 Introduction
6.2 Our Proposal: Multi Criterion Ant Colony Based QoS-aware Forwarding Strategy( MC-QoS-FS)
6.2.1 Designing MC-QoS-FS
6.2.1.1 The moving rule
6.2.1.2 Pheromone update
6.2.2 Forwarding decision-making algorithms
6.2.2.1 After receiving an Interest
6.2.2.2 After receiving a Data packet
6.3 Flow Congestion Reduction Ant colony based Quality of Service aware forwarding strategy (FCR-QoS-FS)
6.3.1 Designing of FCR-QoS-FS
6.3.1.1 Criterion 1: Bandwidth
6.3.1.2 Criterion 2: Cost
6.3.1.3 Criterion 3: Round Trip Time (RTT)
6.3.1.4 Criterion 4: Interest Arrival Rate (IAR)
6.3.1.5 Criterion 5: Data Satisfaction Rate (DSR)
6.3.1.6 Computing Node IAR and DSR
6.3.1.7 Updating of the IAR and DSR path
6.3.1.8 The moving rule
6.3.1.9 Pheromone update
6.3.2 Forwarding decision-making algorithms
6.3.2.1 After receiving an Interest
6.3.2.2 After receiving a Data packet
6.4 Performance Evaluation
6.5 Conclusion
7 Conclusion 
7.1 Summary of Contributions
7.2 Future work
7.3 Publications

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