Modeling and Analyzing the Distribution of Number of User Interactive Requests in Video-on-Demand
Current study on modeling of user behavior in video on demand system only investigate the distribution of number of user interactive requests per session.The modeling and analysis of distribution of number of interactive requests per video were proposed.The distribution of number of interactive requests has been observed to appear to heavy tailed.Statistical analysis on a real workload showed that the common power law model may not be suitable to characterize the distribution.The stretched exponential model was proposed.Numerical studies on the real workload in different time scales indicated that the stretched exponential model well characterized the distribution of number of user interactive requests.The shape parameter of the stretched exponential model characterizes the volatility of user interactive requests and the scale parameter characterizes the aging effect of user interactive request.