Estimation of Adaptation Parameters for Scalable Video Streaming over Software Defined Networks

Scalable Video adaptation is process of extracting the scalable video levels, which can be realized by technologies such as Software Defined Network and Content Aware Network, where devices are capable of processing packets based on the content that flows through them. The main challenge involved in the adaptation process is building the prior knowledge required for deciding the number of scalable layers. This paper implements Scalable Video streaming over a Software Defined Network. From this work, we derive the prior knowledge required by the controller to identify the adaptation parameters for different network conditions and video types.