Towards an Automatic Parameter-Tuning Framework for Cost Optimization on Video Encoding Cloud
The emergence of cloud encoding services facilitates many content owners, such as the online video vendors, to transcode their digital videos without infrastructure setup. Such service provider charges the customers only based on their resource consumption. For both the service provider and customers, lowering the resource consumption while maintaining the quality is valuable and desirable. Thus, to choose a cost-effective encoding parameter, configuration is essential and challenging due to the tradeoff between bit-rate, encoding speed, and resulting quality. In this paper, the authors explore the feasibility of an automatic parameter-tuning framework, based on which the above objective can be achieved.