Resilience and Recovery Mechanisms for Software-Defined Networking (SDN) and Cloud Networks

23 Pages Posted: 12 Aug 2024

See all articles by Oluwaseun Ibrahim Akinola

Oluwaseun Ibrahim Akinola

affiliation not provided to SSRN

Oluwaseun Oladeji Olaniyi

University of the Cumberlands

Olumide Samuel Ogungbemi

Centennial College

Oluseun Babatunde Oladoyinbo

Oyo State Nigeria

Anthony Obulor Olisa

University Of Cumberlands

Date Written: July 27, 2024

Abstract

This research examines the vulnerabilities and resilience mechanisms of Software-Defined Networking (SDN) and cloud networks, with a specific focus on controller failures and security attacks. The study leverages both simulated and real-world data to assess how these vulnerabilities impact network performance metrics including downtime, packet loss, latency, and throughput. A significant observation from the study is that the nature and impact of network disruptions vary significantly depending on the type of failure or attack, highlighting the need for tailored resilience strategies. Machine learning techniques, notably Support Vector Machines (SVMs), are employed to classify these disruptions with high accuracy, suggesting a promising direction for proactive network management. The research proposes a novel framework that combines the dynamic control capabilities of SDN with machine learning and automation to improve the networks' fault tolerance and recovery mechanisms. The effectiveness of this framework is demonstrated through enhanced resilience and reduced performance degradation during network disruptions. This study contributes to the field by outlining a scalable and efficient approach to mitigating vulnerabilities in SDN and cloud networks, thereby enhancing overall network stability and reliability.

Keywords: Software-Defined Networking (SDN), cloud networks, resilience, controller failures, security attacks, machine learning, automation

Suggested Citation

Akinola, Oluwaseun Ibrahim and Olaniyi, Oluwaseun Oladeji and Ogungbemi, Olumide Samuel and Oladoyinbo, Oluseun Babatunde and Olisa, Anthony Obulor, Resilience and Recovery Mechanisms for Software-Defined Networking (SDN) and Cloud Networks (July 27, 2024). Available at SSRN: https://ssrn.com/abstract=4908101

Oluwaseun Ibrahim Akinola

affiliation not provided to SSRN

Oluwaseun Oladeji Olaniyi (Contact Author)

University of the Cumberlands ( email )

6178 College Station Drive
Williamsburg, KY 40769
United States

HOME PAGE: http://www.ucumberlands.edu

Olumide Samuel Ogungbemi

Centennial College ( email )

Oluseun Babatunde Oladoyinbo

Oyo State Nigeria ( email )

Anthony Obulor Olisa

University Of Cumberlands ( email )

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
3
Abstract Views
42
PlumX Metrics