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Simulation analysis of prefetching image content for social networking service framework

机译:用于社交网络服务框架的预取图像内容的仿真分析

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摘要

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.
机译:在本文中,我们分析了基于吸引用户兴趣的内容作者的社交网络服务(SNS)中图像内容的预取机制。我们的预取方案旨在缩短传输延迟,并增强对SNS内容项中包含的大尺寸图像的可访问性。预取方案处理感兴趣的用户而不是感兴趣的内容。每当用户下载新的SNS内容时,他/她的客户端就会预取感兴趣的作者上传给用户的原始高分辨率图像。性能仿真表明,如果用户的访问模式高度偏向少数几个内容编写者,则预取方案非常适合,并且预取方案可以为用户提供高质量的图像,而访问延迟不会显着增加。

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