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Software Defined Networking (SDN) has emerged as a new paradigm for managing heterogeneous networks ranging from enterprises to home network via decoupling the control plane from the data plane. In traditional networking landscape, these two planes are tightly bounded together inside a single appliance. The logically centralized and distributed control plane and programmability offers a great opportunity to improve network security, such as implementing new mechanisms to detect and mitigate various threats, and also enables security as a service in an SDN paradigm. Due to ever increasing and fast development of SDN, this paper provides an extensive survey on SDN controllers, SDN related security threats, and the solutions to mitigate the security threats. This study provides a comprehensive survey on 53 SDN controllers from different aspects including language, architecture, organization, open source, scalability, consistency, reliability, API used, library, and their description. We have also provided a detailed security analysis of SDN architecture with an extensive classification of security threats endangering its different architectural components, and the solutions to effectively mitigate them. This paper also identifies challenges and promising future direction on SDN deployment, standardization, implementation and security issues that should be addressed in this field.INDEX TERMS Software defined networking (SDN), Openflow, SDN Controllers, Network operating system (NOS), scalability, and SDN attacks I. INTRODUCTION
Software Defined Networking (SDN) has emerged as a new paradigm for managing heterogeneous networks ranging from enterprises to home network via decoupling the control plane from the data plane. In traditional networking landscape, these two planes are tightly bounded together inside a single appliance. The logically centralized and distributed control plane and programmability offers a great opportunity to improve network security, such as implementing new mechanisms to detect and mitigate various threats, and also enables security as a service in an SDN paradigm. Due to ever increasing and fast development of SDN, this paper provides an extensive survey on SDN controllers, SDN related security threats, and the solutions to mitigate the security threats. This study provides a comprehensive survey on 53 SDN controllers from different aspects including language, architecture, organization, open source, scalability, consistency, reliability, API used, library, and their description. We have also provided a detailed security analysis of SDN architecture with an extensive classification of security threats endangering its different architectural components, and the solutions to effectively mitigate them. This paper also identifies challenges and promising future direction on SDN deployment, standardization, implementation and security issues that should be addressed in this field.INDEX TERMS Software defined networking (SDN), Openflow, SDN Controllers, Network operating system (NOS), scalability, and SDN attacks I. INTRODUCTION
The performance of the data center network is critical for lowering costs and increasing efficiency. The software-defined networks (SDN) technique has been adopted in data center networks due to the recent emergence of advanced network control and flexibility demand. However, the rapid growth of data centers increases the complexity of control and management processes. With the rapid adoption of SDN, the following critical challenges arise in large-scale data center networks: 1) extra packet delay on the separated control plane and 2) controller bottleneck in large-scale topology. We propose sRetor in this paper, a topology-description-language-based routing approach for regular data center networks that leverages data center networks’ regularity. sRetor aims to reduce the packet waiting time and controller workload in software-defined data center networking. We propose to move partial forwarding decision-making from the controller to switches to eliminate unnecessary control plane delay and reduce controller workload. Therefore the sRetor controller is only responsible for troubleshooting complicated failures and on-demand traffic scheduling. Our numerical and experimental results show that sRetor reduces the flow start time by over 68% and the fail-over time by over 84%.
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