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

Oluwaseun Ibrahim Akinola

Olabisi Onabanjo University, P.M.B. 2002, Ago-Iwoye, Ogun State, Nigeria.

Oluwaseun Oladeji Olaniyi *

University of the Cumberlands, 104 Maple Drive, Williamsburg, KY 40769, United States of America.

Olumide Samuel Ogungbemi

Centennial College, 941 Progress Ave, Scarborough, ON M1G 3T8, Canada.

Oluseun Babatunde Oladoyinbo

Oyo State College of Agriculture and Technology, Igboora, Nigeria.

Anthony Obulor Olisa

Cumberland University, 1 Cumberland Dr, Lebanon, TN 37087, United States.

*Author to whom correspondence should be addressed.


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


How to Cite

Akinola, Oluwaseun Ibrahim, Oluwaseun Oladeji Olaniyi, Olumide Samuel Ogungbemi, Oluseun Babatunde Oladoyinbo, and Anthony Obulor Olisa. 2024. “Resilience and Recovery Mechanisms for Software-Defined Networking (SDN) and Cloud Networks”. Journal of Engineering Research and Reports 26 (8):112-34. https://doi.org/10.9734/jerr/2024/v26i81234.