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A novel cooperative caching algorithm for massive P2P caches - Springer

机译:一种适用于海量P2P缓存的新型协作缓存算法-Springer

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摘要

For an ISP (Internet Service Provider) that has deployed P2P caches in more than one ASs (autonomous systems), cooperative caching which makes their caches cooperate with each other can save more cost of carrying P2P traffic than independent caching. However, existing cooperative caching algorithms only use objects’ popularity as the measurement to decide which objects should be cached, and cost on intra-ISP links that has great impact on the benefits of cooperative caching is not considered. In this paper, we first model the cooperative caching problem as a NP-Complete problem, which is based on our analysis about the cost of serving requests with consideration of both the objects’ popularity and the cost on intra-ISP links. Then we propose a novel cooperative caching algorithm named cLGV (Cooperative, Lowest Global Value). The cLGV algorithm uses a new concept global value to estimate the benefits of caching or replacing an object in the cooperative caching system, and the global value of each object is evaluated according to not only objects’ popularity in each AS but also cost on intra-ISP links among ASs. Results of both synthetic and real traces driven simulations indicate that our cLGV algorithm can save the cost of carrying P2P traffic at least 23 % higher than that of existing cooperative caching algorithms.
机译:对于在多个AS(自治系统)中部署了P2P缓存的ISP(Internet服务提供商)而言,使它们的缓存相互协作的协作缓存可以比独立缓存节省更多的承载P2P流量的成本。但是,现有的协作缓存算法仅使用对象的流行程度作为确定应缓存哪些对象的度量,因此不考虑对协作缓存的收益产生重大影响的ISP内链接的成本。在本文中,我们首先将协作式缓存问题建模为NP-完全问题,这是基于对服务请求成本的分析,同时考虑了对象的受欢迎程度和ISP内链接的成本。然后,我们提出了一种新的协作缓存算法,称为cLGV(协作,最低全局值)。 cLGV算法使用新概念全局值来估计在协作式缓存系统中缓存或替换对象的好处,并且不仅根据对象在每个AS中的普及程度,还根据内部对象的成本来评估每个对象的全局值。自治系统之间的ISP链接。综合和实际跟踪驱动的仿真结果均表明,我们的cLGV算法与现有的协作缓存算法相比,可以节省承载P2P流量的成本至少高23%。

著录项

  • 来源
    《Peer-to-peer networking and applications》 |2013年第4期|425-433|共9页
  • 作者单位

    1.High Performance Network Lab Chinese Academy of Sciences Beijing China;

    1.High Performance Network Lab Chinese Academy of Sciences Beijing China;

    1.High Performance Network Lab Chinese Academy of Sciences Beijing China;

    1.High Performance Network Lab Chinese Academy of Sciences Beijing China;

    1.High Performance Network Lab Chinese Academy of Sciences Beijing China;

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

    P2P cache Cooperative caching Global value;

    机译:P2P缓存合作缓存全局值;

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