1. 1 Self Similar Video Traffic Carey Williamson Department of Computer Science University of Calgary

2. 2 Introduction u A recent paper (ACM SIGCOMM’94) has identified the presence of self- similarity in compressed video traffic u Garrett and Willinger, “Analysis, Modeling, and Generation of Self- Similar VBR Video Traffic”

3. 3 More Video Measurements u Garrett and Willinger studied the characteristics of compressed video for entertainment-type video traffic (i.e., movies) u The data discussed in their paper is for the movie Star Wars, using a JPEG-like video compression algorithm

4. 4 Main Results u Video traffic is self-similar u Scene changes and level of activity in scenes have dramatic effect on bit rate u Developed models for video traffic u Evaluated effects when multiple video sources are statistically multiplexed together

5. 5 Summary u Variable bit rate video traffic forms an important part of the workload for future high speed ATM networks u Understanding video traffic is important u Characterizing and modeling video sources needed for performance studies u Video traffic can be self-similar too!