A Novel Approach to Improve Quality of Service in Cloud-Based Content Delivery Network
Priyanka D1, Vedanth R Kumar2, Gowthami H S3, Manikant V Hooli4, Shivaraja pateel K S5,
1Priyanka D, ISE, Vidya Vikas Institute of Engineering & Technology, Mysore
2Vedanth R Kumar, ISE, Vidya Vikas Institute of Engineering & Technology, Mysore 3Gowthami H S, ISE, Vidya Vikas Institute of Engineering & Technology, Mysore 4Manikant V Hooli, ISE, Vidya Vikas Institute of Engineering & Technology, Mysore
5Shivaraja pateel K S, ISE, Vidya Vikas Institute of Engineering & Technology, Mysore
Abstract: A content delivery network (CDN) improves normal website functions and increases customer satisfaction. In addition, CDNs foster a seamless online experience, ensuring reliable performance and bolstering cybersecurity measures for enhanced user trust and data protection. It improves High-speed content delivery, Real-time streaming, Multi-user scaling etc. One of the most notable achievements is the remarkable reduction in latency, thanks to advanced CDN technologies that position content closer to end-users, enhancing responsiveness and making real- time applications, online gaming, and interactive content more enjoyable. Furthermore, cost optimization has been a focal point, with CDNs efficiently managing resources and data transfer to deliver content while keeping operational expenses in check. In essence, the ongoing enhancements in CDNs underscore their pivotal role in shaping the digital content landscape. With a focus on speed, scalability, latency reduction, cost efficiency, security, global reach, and data- driven decision-making, CDNs have become indispensable for organizations seeking to excel in serving an increasingly diverse and demanding global audience. In a world where digital content reigns supreme, these improvements empower organizations to meet and exceed user expectations, contributing to their overall success in the digital age.
Keywords: Content Delivery Network, Cloud-based Content Delivery Network, Quality metrics and monitoring, Resource management, Performance optimisation.
