Simulation analysis of prefetching image content for social networking service framework

In this paper, we analyze a prefetching mechanism for image content in social networking services (SNS) based on content writers that attract a user’s interest. Our prefetching scheme aims to shorten transmission delays and enhance the accessibility to big size images included in SNS content items. The prefetching scheme deals with users of interest instead of the content of interest. Whenever a user downloads new SNS content, his/her client then prefetches the original high-resolution images uploaded by writers of interest to the user. The performance simulations show that the prefetching scheme is well suited if the user’s access pattern is highly skewed to a few number of content writers, and that the prefetching scheme gives users high-quality images without significant increase of access delay.