Optimizing File Retrieval in Delay-Tolerant Content Distribution Community

Ying Huang, Yan Gao, K. Nahrstedt, Wenbo He
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引用次数: 72

Abstract

In WiFi-based content distribution community infrastructure (CDCI), file servers are deployed in diverse locations around cities, caching popular files interesting to a community. They serve file download requests from mobile users in proximity via WiFi. In this paper, we study the optimal caching strategy for file servers in CDCI so that the mean file retrieval probability within deadline is maximized, subject to storage capacity constraints of each file server. The optimal caching strategy depends on many factors, such as users' mobility patterns, access point topology, file popularity, etc. We have formalized this content management problem as a mixed integer optimization problem. Because of NPhardness and a large variable space of this optimization problem, we propose a heuristic algorithm MobaSsign to allocate file blocks. Extensive experiments show that our heuristic caching strategy considering mobility patterns improves the file retrieval probability within deadline.
在容延迟内容分发社区中优化文件检索
在基于wifi的内容分发社区基础设施(CDCI)中,文件服务器部署在城市周围的不同位置,缓存社区感兴趣的流行文件。他们通过WiFi为附近的移动用户提供文件下载请求。本文研究了CDCI中文件服务器的最优缓存策略,在每个文件服务器存储容量约束的情况下,最大限度地提高文件在截止日期内的平均检索概率。最佳缓存策略取决于许多因素,例如用户的移动模式、接入点拓扑、文件流行度等。我们将这个内容管理问题形式化为一个混合整数优化问题。由于该优化问题的nphard性和较大的变量空间,我们提出了一种启发式算法MobaSsign来分配文件块。大量实验表明,考虑移动模式的启发式缓存策略提高了文件在截止日期内的检索概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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