Towards network based media processing using cloud technologies

Abstract: Media delivery based on HTTP adaptive bitrate streaming protocol has become one of themost popular methods for streaming video and audio over the Internet. These services arecommonly built on top of centralized infrastructures that rely on network conditions or computingresources, which may reduce performance applications on the client side. Massive increases incloud technologies, such as infrastructure as a service (IaaS), container as a service (CaaS), andnew deployment paradigms like function as a service (FaaS) provide accessible deployment ofvirtual functions in multiple locations, which reduces various streaming performance constraints.However, there is no clear understanding of whether all cloud deployments are suitable for mediadelivery.This thesis develops a proof of concept for the deployment of media processing functions inthe cloud. Three media processing use cases and a media streaming prototype for video ondemand(VOD) ad insertion are designed, implemented, and evaluated. Each of the three mediaprocessing use cases is evaluated in a specific deployment architecture to obtain key performanceindicators (KPIs) for use in future networks, such as 5G and network-based media processing(NBMP).