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QoS Support End-to-End Path Selection with Optimized Link Utilization on Multi-domain SDN

이규민 (아주대학교 일반대학원)

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I. Introduction 1
1.1 Motivation 1
1.2 Challenges 3
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I. Introduction 1
1.1 Motivation 1
1.2 Challenges 3
1.3 Contribution of the Dissertation 4
1.4 Chapter Organization 5
II. Background 6
2.1 Overview of the SDN 6
2.1.1 Comparison of traditional networks and SDN 6
2.1.2 SDN Architecture with OpenFlow 8
2.2 QoS of the SDN 11
2.2.1 QoS Support in Single-domain SDN 11
2.2.2 QoS Support in Multi-domain SDN 13
2.2.3 ML approach for support QoS on SDN 15
III. QoS Support Path Selection for Inter-Domain Flows 22
3.1 Overview 22
3.2 Preliminaries 24
3.3 System Model 27
3.4 Effective delay calculation in a local domain 29
3.5 Path selection of a ow using effective delay 36
3.6 Performance Evaluation 42
3.7 Summary 53
IV. Multi-Agent SAC Flow Utility optimization for Multi-Domain SDN 55
4.1 Overview 55
4.2 Existing Learning approach of the SDN 56
4.2.1 DDPG based learning Agent Design 56
4.2.2 Soft Actor Critic based learning Agent Design 58
4.3 Multi-agent Flow Utility optimization for Multi-Domain SDN 68
4.3.1 Problem Statement 68
4.3.2 Multi-agent SAC learning for ow utility optimization 69
4.4 Performance Evaluation 73
4.5 Summary 80
V. Conclusion 82
References 84