Controller placement with critical switch aware in software-defined network (CPCSA)

Author:

Muhammed Yusuf Nura12,Abu Bakar Kamalrulnizam1,Isyaku Babangida13ORCID,Abdelmaboud Abdelzahir4ORCID,Nagmeldin Wamda5

Affiliation:

1. Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Johor Bahru, Malaysia

2. Department of Mathematical Science, Faculty of Sciences, Abubakar Tafawa Balewa University, Bauchi, Nigeria

3. Department of Computer Science, Faculty of Computing and Information Technology, Sule Lamido University, Kafin Hausa, Jigawa State, Nigeria

4. Department of Information Systems, King Khalid University, Abha, Saudi Arabia

5. Department of Information Systems, College of Computer Engineering and Sciences, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia

Abstract

Software-defined networking (SDN) is a networking architecture with improved efficiency achieved by moving networking decisions from the data plane to provide them critically at the control plane. In a traditional SDN, typically, a single controller is used. However, the complexity of modern networks due to their size and high traffic volume with varied quality of service requirements have introduced high control message communications overhead on the controller. Similarly, the solution found using multiple distributed controllers brings forth the ‘controller placement problem’ (CPP). Incorporating switch roles in the CPP modelling during network partitioning for controller placement has not been adequately considered by any existing CPP techniques. This article proposes the controller placement algorithm with network partition based on critical switch awareness (CPCSA). CPCSA identifies critical switch in the software defined wide area network (SDWAN) and then partition the network based on the criticality. Subsequently, a controller is assigned to each partition to improve control messages communication overhead, loss, throughput, and flow setup delay. The CPSCSA experimented with real network topologies obtained from the Internet Topology Zoo. Results show that CPCSA has achieved an aggregate reduction in the controller’s overhead by 73%, loss by 51%, and latency by 16% while improving throughput by 16% compared to the benchmark algorithms.

Funder

Deanship of Scientific Research at King Khalid University through large group Research Project

Publisher

PeerJ

Subject

General Computer Science

Reference45 articles.

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