An Analysis of Video Transcoding in Multi-Core Cloud Environment

Abstract

In recent years, watching video online has become a popular form of infotainment. Online Video on Demand (VoD) services allows users to view video content such as user generated videos, movies, TV shows, music videos and live streams anytime and anywhere. The presence of heterogeneous networks, devices, and user preferences, demand different versions (concerning resolution, frame rate, format, etc.) of a source video. Transcoding the process of converting video _le from one format to another format, is a time-consuming and QoS-sensitive project. Cloud computing o_ers a exible and scalable framework for onlinevideo transcoding. In this paper, we introduce a cloud-based multi-core transcoding system to improve the throughput of the system. Simulation evaluation shows how multi-core is worthwhile as compared to single core environment for a particular set of video chunks.