Network Latency in Cloud Computing Data Centers: Challenges and Innovations

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.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n12106115
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Network Latency in Cloud Computing Data Centers: Challenges and Innovations

Anish Alex
European Journal of Computer Science and Information Technology
Cloud Computing and Resource Management
article

Network Latency in Cloud Computing Data Centers: Challenges and Innovations

Anish Alex
article en

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.

European Journal of Computer Science and Information TechnologyVol. 13(12)
Anna University, Chennai (IN)
Openalex Percentile: Top 87%
Cloud Computing and Resource Management
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Network Latency in Cloud Computing Data Centers: Challenges and Innovations — Anish Alex · European Journal of Computer Science and Information Technology (2025) | TGRS Research Map | TGRS