Abstract: In a typical video application, such as video-on-demand, videos are continuously streamed from a video server to a set of receivers. The constant-quality video encoding technique and variable bit rate (VBR) encoding techniques used. Variable bit rate (VBR) video transmission leads to the burstiness of video traffic, hence high fluctuation in bandwidth requirement. Traffic smoothing algorithms are very efficient in reducing burstiness of the VBR video stream by transmitting data in a series of fixed rates. In this paper, we examine traffic smoothing algorithms and their performance analysis, using a MPEG encoded video and simulation results showed that our approach has small bandwidth requirement, high bandwidth utilization and low computation cost.