| Title |
Multi-index Prefetching Mechanism for Download-based Video on Demand Services |
| Authors |
문양찬(Moon, YangChan) ; 임민규(Lim, Mingyu) |
| DOI |
https://doi.org/10.5370/KIEE.2017.66.8.1257 |
| Keywords |
Prefetching System ; Video Content ; Recommendation ; Transmission Delay |
| Abstract |
In video content watching service, when a user requests video content, the content server has to transmit the entire video to the client for watching. This transmission delay increases as the size of video content increases. In order to solve the transmission delay problem, a prefetching technique can be used in which a video content to be watched by a user is predicted and transmitted to a client before the user requests it. In this paper, we propose a prefetching system considering multiple indices for video content. In the proposed method, video content to be prefetched is selected by comprehensively analyzing the order relation index indicating the order of viewing the videos of the users, the similarity index between the video contents, and the popularity index reflecting the viewing frequency of the video content. Experimental results show that the maximum accuracy is achieved when prefetching uses only the order relation index for movie contents. |