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 world shifted towards a virtual existence. Finally, the fourth part points out the drawbacks of CDN, as distributed denial-of-service (DDoS) attacks are a serious concern for CDN. Security problems along with how to address them are also discussed in this chapter.
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