HR‐DO: High reliable–delay optimized controller placement in software‐defined networking

Abstract

SummaryCurrently, networking technologies are pivoting towards software‐defined networking (SDN) due to its easy management and centralized control system. The SDN network metrics, such as latency, scalability, robustness, and reliability largely depends on controller placement in the network domain. In view of betterment and best progression of network quality, the above mentioned network metrics need to be laid more emphases by considering controller placement. To achieve better network quality, an HR‐DO (high reliable–delay optimized controller placement) is proposed. Fuzzy C‐means, a meta‐heuristic optimization algorithm, is used to optimize the number of controllers required in the network due to its effectiveness in cluster selection. It also eases the network latency. In addition, a minimal cut set‐based Boolean logic approach and natural connectivity metric are used to improve the reliability and robustness of SDN with minimum worst‐case latency. To check the performance, the proposed HR‐DO is implemented on a topology‐zoo network data set (OS3E and Chinanet). For comparison purposes, OCPA and K‐means algorithms are taken into the account of latency, reliability, and robustness as parameters. The performance of the HR‐DO approach outperforms over K‐means and OCPA with respect to latency, reliability, and robustness.