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An Approximate Analytic Performance Model of Object-Based Storage

机译:基于对象的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:基于对象的存储已成为一个重要的新领域,与传统的网络存储体系结构有所不同,因为它专注于大规模存储资源共享和高性能导向。本文提出了一种随机Petri网(SPN)模型,该模型可用于评估基于对象的存储的性能。但是状态空间SPN爆炸的问题限制了它分析复杂和大规模系统的能力。提出了一种近似分析技术,用性能等效简化模型代替了复杂度模型。随着客户端和OSD节点数量的增加,此简化模型用于验证OBS的良好可伸缩性和高性能。

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