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C-Aware: A Cache Management Algorithm Considering Cache Media Access Characteristic in Cloud Computing

机译:C-Aware:一种考虑了云计算中缓存媒体访问特性的缓存管理算法

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摘要

Data congestion and network delay are the important factors that affect performance of cloud computing systems. Using local disk of computing nodes as a cache can sometimes get better performance than accessing data through the network. This paper presents a storage cache placement algorithm-C-Aware, which traces history access information of cache and data source, adaptively decides whether to cache data according to cache media characteristic and current access environment, and achieves good performance under different workload on storage server. We implement this algorithm in both simulated and real environments. Our simulation results using OLTP and WebSearch traces demonstrate that C-Aware achieves better adaptability to the changes of server workload. Our benchmark results in real system show that, in the scenario where the size of local cache is half of data set, C-Aware gets nearly 80% improvement compared with traditional methods when the server is not busy and still presents comparable performance when there is high workload on server side.
机译:数据拥塞和网络延迟是影响云计算系统性能的重要因素。使用计算节点的本地磁盘作为缓存有时会比通过网络访问数据获得更好的性能。本文提出一种存储缓存放置算法-C-Aware,该算法跟踪缓存和数据源的历史访问信息,根据缓存介质的特性和当前访问环境自适应地决定是否缓存数据,并在存储服务器不同工作负载下取得良好的性能。 。我们在模拟和实际环境中都实现了该算法。我们使用OLTP和WebSearch跟踪的模拟结果表明,C-Aware可以更好地适应服务器工作负载的变化。我们在真实系统中的基准测试结果表明,在本地缓存大小为数据集一​​半的情况下,与传统方法相比,当服务器不忙时,C-Aware的性能将提高近80%,而当服务器处于繁忙状态时,C-Aware仍可提供可比的性能服务器端工作量大。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第13期|867167.1-867167.13|共13页
  • 作者单位

    Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China.;

    Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China.;

    Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China.;

    Zhejiang Univ Technol, Hangzhou 310014, Zhejiang, Peoples R China.;

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