A Consideration on Cached Video Content Delivery System Based on User Behavior Information

Abstract

A cached video content management method using conent priority estimation for multi-quality video delivery systems has been studied. In particular, since it has been evaluated for the effect in the same cache server only, there is a problem in the practical system. Moreover, the video utilization system with user behavior has not been considered yet. Then, we propose a cached video content management method with prediction of video usage. In this study, we focus on a management method using video usage characteristics, e.g., video category, series of videos, and number of videos. We design the usage model based on simple daily human behavior and preference. The simple prediction method considering the series videos is proposed in the cache servers. By the simulation experiments, we evaluate the proposed system in each cache hit rate. The improvement of the cached video management method for human movement is discussed.