How AI Adds to CDN's Capabilities

AI empowers CDNs to optimize network usage via intelligent decision-making.

 FREMONT, CA: The advancements in technology, such as artificial intelligence (AI) and machine learning (ML) is contributing to the efficiency of CDNs. With the rise of OTT and streaming web services, the efficiency of CDNs is constantly improving. CDNs can leverage AI and ML capabilities to offer seamless and disruption-free content delivery services. 

CDNs cache and distribute data through a network of strategically-stationed servers around the world. This infrastructure ensures that the requested content reaches the user from the closest server resulting in improved user experience. This system is governed by a set of algorithms that enables a CDN to make a decision on selecting the edge server to which the request must be directed. Traditionally, these algorithms were governed by a standardized set of rules and would not always be able to respond to any real-time challenges that arise within a network. However, today, AI and ML can aid the algorithms in such critical situations. 

 As the content is pushed to the edge, it becomes important to streamline network management and optimize the network capability. AI and ML can be applied to a distributed infrastructure in a way that network operators can proactively track traffic patterns and respond to communication traffic demand. The operators collect real-time performance data from the software-defined core as well as access networks and then apply ML and AI algorithms to offer real-time insights. Such insights equip the CDNs with decision-making capabilities. Intelligent solutions developed on AI and ML technologies can predict network overheads and proactively re-route traffic to the optimized edge servers, thereby reducing latency.

 The pattern-identification capability of AI is prompting the operators to leverage the technology for CDNs’ efficiency optimization.

see also: Top Media and Entertainment Solution Companies