European Journal of Computer Science and Information Technology (EJCSIT)

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Network Latency in Cloud Computing Data Centers: Challenges and Innovations

Abstract

This article examines network latency in cloud computing data centers, exploring its fundamental components, operational impacts, and innovative solutions. It analyzes the four primary types of latency: propagation, transmission, processing, and queueing, each presenting distinct challenges for optimization. The article investigates technological advancements such as Content Delivery Networks and Software-Defined Networking that reduce latency by optimizing content distribution and network management. It further explores how artificial intelligence and machine learning applications revolutionize latency management through predictive analytics and autonomous network optimization. Finally, the article discusses emerging trends and challenges, including quantum networking, programmable network hardware, cross-layer optimization, and scalability issues in globally distributed systems, providing a comprehensive overview of current approaches and future directions in minimizing network latency for improved cloud computing performance.

 

Keywords: Artificial intelligence congestion control, Content Delivery Networks, Network latency optimization, Programmable network hardware, Software-Defined Networking

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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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