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An Approximate Analytic Performance Model of Object-Based Storage

机译:基于对象存储的近似分析性能模型

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The Object-based storage has emerged as an important new field, distinguished from traditional network storage architecture by its focus on large-scale storage resource sharing and high-performance orientation. This paper presents a Stochastic Petri Nets (SPN) model that can be used to evaluate the performance of the object-based storage. But the problem of state space’s explosion of SPN limits its ability to analyze complex and large-scale systems. An approximate analysis technique is proposed to replace the complexity model with the performance equivalence simplification model. This simplified model was used to validate the both well scalability and high performance of the OBS as the number of clients and OSD nodes increase.
机译:基于对象的存储器已成为一个重要的新字段,其与传统的网络存储架构的关注侧重于大规模存储资源共享和高性能方向。本文介绍了一种随机培养网(SPN)模型,可用于评估基于对象的存储的性能。但国家空间的SPN爆炸问题限制了其分析复杂和大规模系统的能力。提出了一种近似分析技术来用性能等价简化模型替换复杂性模型。此简化模型用于验证何种井可伸缩性和高性能作为客户端的数量和OSD节点增加。

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