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Server-side prefetching in distributed file systems

机译:分布式文件系统中的服务器端预取

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This paper presents a proactive data prefetching mechanism on storage servers for distributed file systems to achieve better input/output (I/O) performance. This mechanism requires keeping tracks of what blocks were accessed and the information about client I/O requests to predict which blocks will be accessed in the future. Except for showing a linear access tendency, I/O access operations on blocks also reveal a random or similar-random tendency but with certain access patterns. Thus, to address the prediction for future possible read operations, a linear regression algorithm and a chaotic prediction algorithm have been proposed to forecast the future access requests according to different access patterns. As a result, by employing the information, that is, offsets and request sizes, about the predicted future read requests on disk blocks, the storage servers in our newly presented mechanism can prefetch block data more precisely and then send it to associated client file system proactively. The experimental results illustrate that our proposed mechanism is able to shorten read latency to a great extent and then contribute to better read throughput significantly in certain application contexts. Copyright © 2014 John Wiley & Sons, Ltd.
机译:本文提出了一种用于分布式文件系统的存储服务器上的主动数据预取机制,以实现更好的输入/输出(I / O)性能。这种机制需要跟踪访问了哪些块以及有关客户端I / O请求的信息,以预测将来将访问哪些块。除了显示线性访问趋势外,对块的I / O访问操作还显示出随机或类似随机的趋势,但是具有某些访问模式。因此,为了解决对未来可能的读取操作的预测,已经提出了线性回归算法和混沌预测算法以根据不同的访问模式来预测未来的访问请求。结果,通过使用有关磁盘块上预计的将来读取请求的信息(即偏移量和请求大小),我们新提出的机制中的存储服务器可以更精确地预取块数据,然后将其发送到关联的客户端文件系统主动地。实验结果表明,我们提出的机制能够在很大程度上缩短读取延迟,然后在某些应用程序上下文中显着有助于更好的读取吞吐量。版权所有©2014 John Wiley&Sons,Ltd.

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