European Journal of Computer Science and Information Technology (EJCSIT)

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The Future of Cloud Networking: Advancing Performance through AI-Driven Optimization

Abstract

This article explores the transformative advancements in cloud networking, focusing on the integration of artificial intelligence and modern optimization techniques. It examines how virtualized host networking has evolved to meet the growing demands of distributed applications, incorporating technologies such as SR-IOV, eBPF, and DPDK for enhanced performance. The article investigates advanced memory management strategies and caching mechanisms that have revolutionized data access patterns in virtualized environments. Furthermore, it analyzes the impact of AI-driven optimization on network security, including anomaly detection, threat mitigation, and adaptive defense mechanisms. Through comprehensive analysis of current research, this article demonstrates how the convergence of traditional networking approaches with artificial intelligence is creating more resilient, efficient, and adaptable cloud infrastructure systems

Keywords: Artificial Intelligence, Cloud Computing, network optimization, security management, virtualization

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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