Dynamic Resource Provisioning for Video Transcoding in IaaS Cloud

High-definition video applications are often challenging for mobile devices due to their limited processing capability and bandwidth-constrained network connection. Video transcoding has become an inevitable technology for on-demand video streaming service which needs to be done on the go in real-time for mobile devices. Since video transcoding involves extensive computation, performing transcoding using cloud resource is more cost friendly and time effective. It is challenging to use the cloud resources for video transcoding that minimises the operating cost. In this paper, we propose a dynamic resource provisioning algorithm for allocating virtual machine to scale video transcoding services on a given IaaS cloud and conducted experiments in CloudSim and compared the proposed system with conventional system. The experimental results show that the proposed system outperforms the conventional systems.