6The State of CDNs Today and What AI-Assisted CDN Means for the Future
Darothi Sarkar1, Rana Majumdar2, Dac-Nhuong Le3
1 Institute of Engineering & Management, Kolkata, India
2 Sister Nivedita University, Kolkata, India
3 Faculy of Information Technology, Haiphong University, Haiphong, Vietnam
Email: darothisarkar@rediffmail.com, rana.majumdarwb@gmail.com, nhuongld@dhhp.edu.vn
Abstract
Replicating the network content in several strategically selected locations has become very popular because of its quality of experience. The content delivery network (CDN) brings data closer to the clients by deploying servers at the network edges, which eventually reduces the bandwidth constraint, packet loss and delay in response while gaining the clients confidence. Currently, Facebook, LinkedIn, Instagram and other social media are choosing OTT platforms that use CDN to cope with the increasing content demand, which used to be a major challenge before CDN. The first part of the chapter identifies the challenging areas involved in CDN on which its entire performance depends, namely server placement, content placement, request routing and load balancing. The second part of the chapter focuses on how artificial intelligence (AI) and machine learning (ML) are changing CDN. CDN keeps on using cutting-edge technologies to optimize response time with a disruption-free content delivery. The third part of the chapter emphasizes the role of emerging AI-based CDN during the pandemic, where the entire ...
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