| Title |
Personalized Video Prefetching Mechanism Based on User Viewing History in Edge Computing Environment |
| Authors |
문양찬(Yang Chan Moon) ; 임민규(Mingyu Lim) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.5.620 |
| Keywords |
Video service; Prefetching; Edge node; Personalized system; Video transmission |
| Abstract |
The personalized video service collects and analyzes user information to provide differentiated services for each user. Additionally, it is impossible to avoid delays when sending a video from a server to a client. However, if prefetching is performed at the edge node, transmission delay can be reduced, and personalized service can be provided by utilizing user information at each edge node.
In this paper, we propose a personalized video service based on edge nodes. The proposed method operates so that the edge node performs personalized prefetching in which the number of prefetching is adjusted by calculating the weights of five selection criteria based on the user's viewing record. We found that the proposed method has the highest prefetching accuracy through implementation and experiments using the simulation of user behavior of selecting and viewing videos. |