"Optimizing for Video Storage Networking With Recommender Systems"
Driven mainly by its adoption as a new media distribution platform for content providers and its ubiquitous availability for the end user’s media production and consumption, the Internet is rapidly reshaping. In particular, the stakeholders in the content distribution market are considering exploiting content delivery networks (CDNs) to play a key enabling role allowing them to become part of related value chains. In this paper we discuss how such CDNs rely on autonomous algorithms to optimally use the storage resources, i.e., reducing bandwidth on feeder links, while providing quality of experience (QoE) to the end user.
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