论文标题
在移动边缘缓存中的AOI-DELAY权衡与新鲜感的内容令人耳目一新
AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing
论文作者
论文摘要
移动边缘缓存可以有效地减少服务延迟,但可能会引入信息陈旧性,要求及时的内容令人耳目一新。但是,内容令人耳目一新会消耗额外的传输资源,并可能降低移动系统的延迟性能。在这项工作中,我们提出了一个新鲜感知的令人耳目一新的计划,以平衡按信息年龄(AOI)衡量的服务延迟和内容新鲜度。具体而言,如果AOI超过一定的阈值(称为刷新窗口),则将缓存的内容项通过用户请求刷新到最新版本。平均AOI和服务延迟大约以封闭形式得出,这揭示了与刷新窗口相对于清爽窗口的AOI-DELAY权衡关系。此外,优化的窗口将被优化以最大程度地减少满足AOI要求时的平均延迟,结果表明为流行内容项目设置了一个较小的刷新窗口。在Omnet ++平台上进行了广泛的模拟,以验证分析结果。结果表明,随着请求到达率的增加,所提出的方案可以限制频繁的刷新,从而使平均延迟可以减少约80%,同时将AOI保持在重载的情况下一秒钟以下。
Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additional transmission resources and may degrade the delay performance of mobile systems. In this work, we propose a freshness-aware refreshing scheme to balance the service delay and content freshness measured by Age of Information (AoI). Specifically, the cached content items will be refreshed to the up-to-date version upon user requests if the AoI exceeds a certain threshold (named as refreshing window). The average AoI and service delay are derived in closed forms approximately, which reveals an AoI-delay tradeoff relationship with respect to the refreshing window. In addition, the refreshing window is optimized to minimize the average delay while meeting the AoI requirements, and the results indicate to set a smaller refreshing window for the popular content items. Extensive simulations are conducted on the OMNeT++ platform to validate the analytical results. The results indicate that the proposed scheme can restrain frequent refreshing as the request arrival rate increases, whereby the average delay can be reduced by around 80% while maintaining the AoI below one second in heavily-loaded scenarios.