  Recent years have witnessed the rising of short-form video platforms such as
TikTok. Apart from conventional videos, short-form videos are much shorter and
users frequently change the content to watch. Thus, it is crucial to have an
effective streaming method for this new type of video. In this paper, we
propose a resource-efficient prefetching method for short-form video streaming.
Taking into account network throughput conditions and user viewing behaviors,
the proposed method dynamically adapts the amount of prefetched video data.
Experiment results show that our method can reduce the data waste by 37~52%
compared to other existing methods.
