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Learn about video on demand server scaling

Posted: 23 May 2011     Print Version  Bookmark and Share

Keywords:video on demand  VoD server  abstract modelling 

In a growing and more competitive video on demand (VoD) market, system designers face new challenges in VoD server infrastructures definition and sizing. Early performance estimation thanks to abstract modelling is a key enabler for providing best quality of service and compelling user experience.

This article illustrates how to model and simulate an example model of a RTP/RTSP video on demand server using the method, notations and tools.

The objective is to determine the client's frame rate deviation and the average power consumption for different server configurations. The frame rate deviation is the difference between the expected theoretical frame rate and the actual frame rate of the video stream. It directly impacts the user's watching experience and should be kept as much as possible close to zero.

The impact of different hardware elements of the server such as HDD type and server buffering is studied. The example also illustrates how to model multiple instances of the same function, and how to define an abstract network of computers.

View the PDF document for more information.

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