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Software Defined Networking Architecture, Security and Energy Efficiency: A Survey - 2017

Software Defined Networking Architecture, Security and Energy Efficiency: A Survey

Survey paper on Software Defined Networking Architecture, Security and Energy Efficiency

Research Area:  Software Defined Networks

Abstract:

Software-defined networking (SDN) is an emerging paradigm, which breaks the vertical integration in traditional networks to provide the flexibility to program the network through (logical) centralized network control. SDN has the capability to adapt its network parameters on the fly based on its operating environment. The decoupled structure of SDN serves as a solution for managing the network with more flexibility and ease. In SDN, the centralized cost effective architecture provides network visibility which helps to achieve efficient resource utilization and high performance. Due to the increasingly pervasive existence of smart programmable devices in the network, SDN provides security, energy efficiency, and network virtualization for enhancing the overall network performance. We present various security threats that are resolved by SDN and new threats that arise as a result of SDN implementation. The recent security attacks and countermeasures in SDN are also summarized in the form of tables. We also provide a survey on the different strategies that are implemented to achieve energy efficiency and network security through SDN implementation. In an effort to anticipate the future evolution of this new paradigm, we discuss the main ongoing research efforts, challenges, and research trends in this area. With this paper, readers can have a more thorough understanding of SDN architecture, different security attacks and countermeasures, and energy efficiency.

Keywords:  
Software Defined Networking
Architecture
Security
Energy Efficiency

Author(s) Name:  Danda B. Rawat; Swetha R. Reddy

Journal name:  IEEE Communications Surveys & Tutorials

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/COMST.2016.2618874

Volume Information:  ( Volume: 19, Issue: 1, Firstquarter 2017) Page(s): 325 - 346