The need of multicast predictive NFS servers for high-speed networks used as parallel multimedia platforms

T. Olivares, F. Quiles, Antonio Jose Garrido del Solo, P. García, L. Orozco-Barbosa
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引用次数: 3

Abstract

In this paper we have carried out an experimental study of the I/O latency of a distributed file system over a parallel multimedia platform. Our experimental platform uses NFS (Network File System) to support an application characterized by its high processing and storage requirements. We evaluate the overall system by varying several NFS parameters as well as the underlying network topology and data access patterns. We have also examined the relevance of two other important file management access mechanisms: caching and prefetching. Our experimental results have allowed us to identify the major system parameters affecting the performance of NFS. We then propose the use of a predictive data access mechanisms. Under this mechanism, the file server should detect the similarities among the most recent I/O requests incoming from a set of cooperating clients. Once having identified the access pattern, the file server will be able to multicast the required data even before receiving explicit I/O data requests from the clients. Under this predictive mechanism, the system performance should improve as the number of explicit I/O requests directed to the file server decreases.
高速网络并行多媒体平台对多播预测NFS服务器的需求
本文对并行多媒体平台上分布式文件系统的I/O延迟进行了实验研究。我们的实验平台使用NFS (Network File System,网络文件系统)来支持一个具有高处理和存储要求的应用程序。我们通过改变几个NFS参数以及底层网络拓扑和数据访问模式来评估整个系统。我们还研究了另外两种重要的文件管理访问机制的相关性:缓存和预取。我们的实验结果使我们能够确定影响NFS性能的主要系统参数。然后,我们建议使用预测性数据访问机制。在这种机制下,文件服务器应该检测来自一组协作客户机的最新I/O请求之间的相似性。一旦确定了访问模式,文件服务器将能够在接收来自客户机的显式I/O数据请求之前多播所需的数据。在这种预测机制下,系统性能应该随着指向文件服务器的显式I/O请求数量的减少而提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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