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ProRec: a unified content caching and replacement framework for mobile edge computing

机译:PROREC:移动边缘计算的统一内容缓存和替换框架

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摘要

In this paper, we investigate the content deployment problem from precaching and device-to-device communication perspectives. In the precaching stage, contents are prefetched and stored in edge nodes to be quickly provided to end users. In the device-to-device communication process, intermediate nodes face a dilemma in deciding whether to cache contents coming from or going to neighboring nodes to accelerate the content delivery. We call the former proactive caching and the latter reactive caching. We then design ProRec, a unified caching framework, by jointly considering the two cases with the goal of maximizing the content hit ratio. ProRec first addresses the optimization problem using the method of Lagrangian multipliers and obtains a general solution to the optimal content copies. Second, a greedy solution, proven to achieve the optimum with a probability of at least 1-1/e is used to cache and replace contents. Finally, an edge computing simulation platform that includes real and synthetic traces is built as a case study to verify the effectiveness of ProRec. The numerical results show that it simultaneously improves the cache hit ratio and content delivery delay.
机译:在本文中,我们研究了从预留和设备到设备通信透视图中的内容部署问题。在预加工阶段,预取内容并存储在边缘节点中以快速提供给最终用户。在设备到设备通信过程中,中间节点面临困境,决定是否缓存来自或进入相邻节点以加速内容传递的内容。我们称之为前主动缓存和后者的反应缓存。然后,我们通过联合考虑两个案例来设计PROREC统一的缓存框架,其目的是最大化内容命中率的目标。 PROREC首先使用拉格朗日乘法器的方法来解决优化问题,并获得最佳内容副本的一般解决方案。其次,贪婪的解决方案已被证明可以使用至少1-1 / e的概率来缓存和替换内容的概率。最后,构建了包含实际和合成迹线的边缘计算模拟平台作为案例研究,以验证PROREC的有效性。数值结果表明它同时提高了高速缓存命中率和内容传递延迟。

著录项

  • 来源
    《Wireless Networks》 |2020年第4期|2929-2941|共13页
  • 作者单位

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China|Big Data Engn Lab Teaching Resources Xinxiang Henan Peoples R China;

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China;

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China;

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China;

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China;

    Henan Normal Univ Sch Comp & Informat Engn Xinxiang Henan Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Proactive caching; Reactive caching; Cache hit ratio; Edge computing; D2D communication;

    机译:主动缓存;反应缓存;缓存命中率;边缘计算;D2D通信;

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