Cloud-based Adaptive Video Streaming: Content Storage Vs. Transcoding Optimization Methods

The paper proposes provisioning methods for VoD service providers offering adaptive video streaming in a cloud environment. Our methods minimize costs paid by VoD provider thanks to rational use of on the fly video transcoding service which eliminates storage cost of rarely requested video profiles. In the paper, we formulate provisioning problem, propose optimization and heuristic methods that determine the best tradeoff between content storage and transcoding. The results of performance evaluation confirmed that proposed methods can significantly reduce costs paid by VoD providers.