Techniques for Reducing Latency in Cloud-Based Networks: A Comprehensive Study

Authors

  • Priya Sharma Department of Artificial Intelligence, Jawaharlal Nehru Technological University, India

Abstract

Reducing latency in cloud-based networks is crucial for enhancing user experience and optimizing application performance across distributed environments. This comprehensive study explores various techniques aimed at minimizing latency in cloud networking infrastructures. Key strategies include the use of Content Delivery Networks (CDNs) for caching and delivering content closer to end-users, Edge Computing to process data near the point of generation, and Quality of Service (QoS) mechanisms to prioritize critical traffic. Additionally, advancements in network protocols, such as Multipath TCP and QUIC, are examined for their ability to improve data transfer efficiency and reduce latency. Moreover, optimization techniques in virtualization, containerization, and workload scheduling are discussed to enhance resource utilization and responsiveness. By synthesizing these approaches, this study provides insights into effective latency reduction strategies that enable cloud-based networks to meet the demands of modern applications while improving overall performance and user satisfaction.

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Published

2024-05-15

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Section

Articles