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Analysis and performance study for coordinated hierarchical cache placement strategies

机译:分层缓存协调放置策略的分析和性能研究

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摘要

Data caching has been shown to be efficient in reducing network bandwidth consumption and accelerating information access. In a caching system, an important issue is coordinating data placement to achieve optimal system performance. This paper studies cache placement strategies and their performance in cooperative hierarchical caching environments. A theoretical model is introduced to analyze the access cost of placing a set of object copies in the routing path. Using this model, the object placement problem can be formulated as an optimization problem. It is proved that the problem can be divided into subproblems, thus optimal solutions can be obtained by using dynamic programming. It is further proved that if some nodes are known to be in the optimal solution, the calculation cost of the dynamic programming algorithms can be reduced. A heuristic greedy algorithm is also presented for efficient implementation. Performance of these strategies are evaluated using simulations under both synthetic workload traces and real workload traces. It is shown that both the optimal and the heuristic strategies perform well in cooperative hierarchical caching systems.
机译:数据缓存已被证明在减少网络带宽消耗和加速信息访问方面是有效的。在缓存系统中,重要的问题是协调数据放置以实现最佳的系统性能。本文研究了缓存放置策略及其在协作分层缓存环境中的性能。引入了理论模型来分析在路由路径中放置一组对象副本的访问成本。使用此模型,可以将对象放置问题表述为优化问题。实践证明,该问题可以分为子问题,可以通过动态规划得到最优解。进一步证明,如果已知某些节点处于最优解中,则可以减少动态规划算法的计算成本。还提出了一种启发式贪婪算法,以实现高效实现。这些策略的性能是在综合工作负载跟踪和实际工作负载跟踪下使用模拟来评估的。结果表明,最佳策略和启发式策略在协作式分层缓存系统中均表现良好。

著录项

  • 来源
    《Computer Communications》 |2010年第15期|P.1834-1842|共9页
  • 作者单位

    State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, PR China Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;

    rnDepartment of Computer Science, City University of Hong Kong, Kowloon, Hong Kong;

    rnSchool of Information Science, Nanjing Audit University, Nanjing 210029, PR China;

    rnState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, PR China;

    rnState Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    cooperative caching system; cache placement and replacement strategies;

    机译:协同缓存系统;缓存放置和替换策略;

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