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Performability Analysis of Storage Systems in Practice: Methodology and Tools

机译:实际中存储系统的性能分析:方法和工具

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This paper presents a methodology and tools used for performability analysis of storage systems in Sun Microsystems. A Markov modeling tool is used to evaluate the probabilities of normal and fault states in the storage system, based on field reliability data collected from customer sites. Fault injection tests are conducted to measure the performance of the storage system in various degraded states with a performance benchmark developed within Sun Microsystems. A graphic metric is introduced for performability assessment and comparison. An example is used throughout the paper to illustrate the methodology and process.
机译:本文介绍了用于Sun Microsystems中存储系统性能分析的方法和工具。 Markov建模工具用于基于从客户站点收集的现场可靠性数据来评估存储系统中正常状态和故障状态的概率。进行故障注入测试,以使用Sun Microsystems内部开发的性能基准测试各种退化状态下存储系统的性能。引入了图形指标以进行性能评估和比较。全文使用一个示例来说明方法和过程。

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