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An Efficient Wireless Control Plane for Software Defined Networking in Data Center Networks - 2019

An Efficient Wireless Control Plane for Software Defined Networking in Data Center Networks

Research paper on An Efficient Wireless Control Plane for Software Defined Networking in Data Center Networks

Research Area:  Software Defined Networks

Abstract:

Software defined networking (SDN) has re-defined the way data center networks are deployed and functioned. The ability to separate the control plane and data plane have led to the simpler design and easier management. In SDN, the data plane and control plane are separately managed, so building an additional wired network to connect the control plane and the data plane can lead to a high cabling complexity. This paper proposes an end-to-end end wireless control plane architecture for SDN-enabled data center networks. In the proposed architecture, the switches form clusters that are wirelessly connected to the controller via access points (APs) and relay nodes (RNs). The switches use the 2.4/5-GHz band to connect with the APs, whereas the APs and the RNs are connected to the controller using the 60-GHz band. We have presented an analytical model to derive achievable data rates in our wireless control plane. We have also proposed two algorithms that allow an optimal number of a cluster size of the switches to be connected with the Controller via minimum number to APs/RNs such that the control traffic demands of the switches is guaranteed in interference constrained environment. Through extensive simulations, the results of our proposed architecture show that the cabling complexity in the control plane is reduced to zero and additional switches may be easily added in SDN data center. Thus, a pure wireless solution for building a control plane in a data center network is feasible.

Keywords:  
Data center networks
software-defined networks
wireless control plane

Author(s) Name:  Zuneera Umair; Umair Mujtaba Qureshi; Yingying Cheng; Xiaohua Jia

Journal name:  IEEE Access

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/ACCESS.2019.2914771

Volume Information:  ( Volume: 7) Page(s): 58158 - 58167