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An Approximate Analytic Performance Model of Object-Based Storage.

Liu, Qun; Feng, Dan

In: Lecture Notes in Computer Science : Computational Science and Its Applications - ICCSA 2006, Volume 3980, 2006, pages 1045-1052. 2006. URL:

Abstract: 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.

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