Current Volume 8
Abstract
This review brings the tremendous growth of the internet has propelled faster, safer, more efficient Content Distribution Networks (CDNs). Conventional CDNs, while their efficiency, could find it challenging to meet the demands of modern online applications especially given the growing complexity of material and user activity. Emphasising AI-driven architectures that enhance online performance, scalability, and security, this article explores how artificial intelligence (AI) might change CDNs. The major objective of this article is to investigate how artificial intelligence technologies—machine learning, deep learning, and real-time analytics—are changing content delivery, cutting latency, and allowing more tailored experiences for customers. This article also examines the possibilities these systems have in enhancing user interaction and content delivery optimisation as well as the challenges in adopting AI-driven CDNs—including infrastructure needs, data privacy issues, and security threats. The method demands for a thorough examination of present research, case studies, and most recent breakthroughs in artificial intelligence-driven CDN solutions. Key findings reveal fairly remarkably that integration of artificial intelligence enhances dynamic content distribution, resource allocation, and real-time danger identification. Moreover more scalable, operationally effective, and help to raise user happiness are AI-driven CDNs. The last section of the paper discusses expected improvements and changes in CDN performance in future developments: Edge computing and more intricate artificial intelligence models' integration.
Keywords
AI-driven CDNs, Content Delivery Networks, Machine Learning, Web Performance Optimization, Security and Scalability
Citations
IRE Journals:
Gireesh Kambala
"Review on Accelerating Web Performance: The Role of AI-Driven Content Delivery Networks" Iconic Research And Engineering Journals Volume 8 Issue 2 2024 Page 1021-1030
IEEE:
Gireesh Kambala
"Review on Accelerating Web Performance: The Role of AI-Driven Content Delivery Networks" Iconic Research And Engineering Journals, 8(2)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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