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.
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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.
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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.
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