What is it about?

This survey explores how Artificial Intelligence (AI) can improve the performance of Software-Defined Networking (SDN) by enhancing load balancing techniques. SDN faces challenges in distributing traffic effectively, and AI-based load balancing methods can help optimize network resource usage and improve overall performance. The survey categorizes different AI-based load balancing methods and assesses their strengths and weaknesses, providing valuable insights for improving SDN effectiveness.

Featured Image

Why is it important?

This survey is unique in its comprehensive focus on the impact of existing Artificial Intelligence (AI) based load balancing techniques on SDN performance. It provides a new classification and analysis for load balancing methods in SDN, offering valuable insights for researchers and practitioners aiming to improve SDN performance. By concentrating on the timely intersection of AI and SDN, this work addresses a critical area of network optimization, making it essential reading for those interested in cutting-edge advancements in networking technologies.

Perspectives

This publication provides a comprehensive survey of artificial intelligence (AI) based load balancing techniques in the context of software-defined networking (SDN). It categorizes and evaluates existing AI-based load balancing mechanisms, highlighting their strengths, weaknesses, and the parameters used to assess their effectiveness. The document also outlines the trends and challenges in this field, providing valuable insights for future research in SDN load balancing. From a personal perspective, this publication is a valuable resource for researchers and practitioners in the field of SDN and AI. It offers a thorough analysis of AI-based load balancing methods, shedding light on their potential impact on SDN performance. Additionally, the document's focus on future trends and challenges provides a roadmap for further advancements in SDN load balancing. Overall, this publication serves as a comprehensive guide for understanding and improving load balancing in SDN through the integration of AI techniques.

AhmadReza Montazerolghaem
University of Isfahan

Read the Original

This page is a summary of: Artificial intelligence based load balancing in SDN: A comprehensive survey, Internet of Things, July 2023, Elsevier,
DOI: 10.1016/j.iot.2023.100814.
You can read the full text:

Read

Contributors

The following have contributed to this page