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Response Time Analysis of Distributed File System Based on Fork-join Queue Model

机译:基于Fork-join Queue模型的分布式文件系统响应时间分析

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摘要

Application performance is criterion for distributed storage system evaluation, and hence the specific task of system configuration and performance tuning for these application is of great interest. The effectiveness of automatic storage management depends on the accuracy of the storage performance models that are used for making resource optimization configuration. Distributed file system plays a key role in mass distributed storage system. Although the potential advantages of distributed file system in application workloads have been documented, the potential impact to application performance in mass distributed storage environments is not clearly understood. This paper presents a response time analysis approach based on fork-join queue model for distributed file system. The performance technique is potentially useful in the early phases of design distributed storage system when several candidate configurations have to be evaluated quickly. The experiments validate our response time analysis model and prove our approach is appropriated to build performance model for distributed storage system.
机译:应用程序性能是分布式存储系统评估的标准,因此,针对这些应用程序的系统配置和性能调整的特定任务引起了极大的兴趣。自动存储管理的有效性取决于用于进行资源优化配置的存储性能模型的准确性。分布式文件系统在海量分布式存储系统中起着关键作用。尽管已记录了分布式文件系统在应用程序工作负载中的潜在优势,但尚未清楚地了解对大容量分布式存储环境中应用程序性能的潜在影响。本文提出了一种基于fork-join队列模型的分布式文件系统响应时间分析方法。当必须快速评估几个候选配置时,性能技术在设计分布式存储系统的早期阶段可能很有用。实验验证了我们的响应时间分析模型,并证明了我们的方法适用于构建分布式存储系统的性能模型。

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