Flat DCN architecture

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Table of contents

1 Introduction 
1.1 Data Center Designing
1.1.1 Data Center Network
1.1.2 Data Center Network Challenges
1.2 Data Center Network Solutions
1.3 Problem statement
1.4 Thesis contributions
1.5 Thesis outline
2 Architectures of Data Center Networks: Overview 
2.1 Introduction
2.2 Taxonomy of data center network architectures
2.2.1 Classification of DCN architectures
2.2.2 Switch-centric DCN architectures overview
2.2.2.1 Tree-based DCN
2.2.2.2 Hierarchical DCN architecture
2.2.2.3 Flat DCN architecture
2.2.3 Server-centric DCN architectures overview
2.2.4 Enhanced DCN architectures overview
2.2.4.1 Optical DCN architecture
2.2.4.2 Wireless DCN architecture
2.3 Comparison between DCN architectures
2.4 Proposed HDCN architecture
2.4.1 HDCN architecture based on MSDC model
2.4.1.1 ECMP protocol
2.4.2 60 GHz technology in HDCN
2.4.3 Beamforming technique in HDCN
2.5 Conclusion
3 Routing andWireless Resource Allocation inHybrid Data Center Networks: Overview 
3.1 Introduction
3.2 Routing and wireless channel allocation problematic in HDCN
3.2.1 Routing and wireless channel assignment challenges in HDCN
3.2.2 Routing and wireless channel assignment criteria in HDCN
3.3 Wireless Channel Allocation strategies for one-hop communications in HDCN
3.3.1 Channel allocation problem in wireless networks
3.3.2 Omni-directional antennas based strategies
3.3.3 Beamforming based strategies
3.4 Online Joint Routing and Wireless Channel Allocation strategies in HDCN
3.4.1 Joint routing and channel assignment in Mesh networks
3.4.2 Online joint routing and channel assignment strategies in HDCN
3.5 Joint Batch Routing and Channel Allocation strategies in HDCN
3.6 Summary
3.7 Conclusion
4 Wireless channel allocation for one-hop communications in HDCN 
4.1 Introduction
4.2 Problem Formulation
4.2.1 Hybrid Data Center Network Model
4.2.2 Wireless Channel allocation problem in HDCN
4.3 Proposal: GC-HDCN
4.3.1 Generation of initial solution
4.3.2 Resolution of the relaxed RM-Problem
4.3.3 Resolution of the pricing problem
4.3.3.1 B&C algorithm
4.3.3.2 Pricing Greedy heuristic
4.3.4 Branch and price stage
4.4 Performance evaluation
4.4.1 Simulation Environment and Methodologies
4.4.1.1 Experiment Design
4.4.1.2 Simulation setup
4.4.2 Performance metrics
4.4.3 Simulation Results
4.4.3.1 Omni-Beam scenario
4.4.3.2 Uniform-Load scenario
4.4.3.3 Real-Load scenario
4.5 Conclusion
5 Joint online routing and channel allocation in HDCN 
5.1 Introduction
5.2 Problem Formulation
5.2.1 Hybrid Data Center Network Model
5.2.2 Joint Routing and Channel Assignment problem
5.2.2.1 Edmonds-Szeider Expansion
5.2.2.2 Minimum Weight Perfect Matching formulation
5.3 Proposal: JRCA-HDCN
5.3.1 Initialization stage
5.3.2 Primal operations stage
5.3.3 Dual updates stage
5.4 Performance Evaluation
5.4.1 Simulation Environment and Methodologies
5.4.1.1 Experiment Design
5.4.1.2 Simulation setup
5.4.2 Performance metrics
5.4.3 Simulation Results
5.4.3.1 Close-WTU and Far-WTU scenarios
5.4.3.2 Hotspot scenario
5.4.3.3 Real-Load
5.5 Conclusion
6 Joint batch routing and channel allocation in HDCN 
6.1 Introduction
6.2 Problem Formulation
6.2.1 Hybrid Data Center Network Model
6.2.2 Joint Batch Routing & Channel Assignment (JBRC) problem
6.2.2.1 Graph Expansion
6.2.2.2 Multi-Commodity Flow problem (MCF) formulation
6.3 Heuristic solution: JBH-HDCN
6.3.1 Initialization stage
6.3.2 Cost evaluation and selection stage
6.3.3 Expansion stage
6.4 Approximate solution: SJB-HDCN
6.4.1 Relaxation stage
6.4.2 Evaluating the Lagrangian function and its subgradient
6.4.3 Lagrangian update stage
6.4.3.1 Initialization
6.4.3.2 Update of Lagrangian multipliers
6.4.3.3 Computation of the current Lagrangian function
6.5 Performance Evaluation
6.5.1 Simulation Environment and Methodologies
6.5.1.1 Experiment Design
6.5.1.2 Simulation setup
6.5.2 Performance metrics
6.5.3 Simulation Results
6.5.3.1 Uniform-Load
6.5.3.2 Real-Load
6.6 Conclusion
7 Conclusions 
7.1 Introduction
7.2 Summary of contributions
7.3 Future research directions
7.4 Publications