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The automata model for cloud storage

机译:云存储的自动机模型

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The existing methods which are used to study the complicated cloud storage can not effectively express the internal. This paper abstracts the realistic cloud storage system and presents an automata model for cloud storage, which consists of Storage Cellular and Client Cellular, and analyzes this abstract model through the theory of cellular automata. We not only define the state of Storage Cellular and Client Cellular, which consists of multiple properties respectively, but also analyze each property through the Set principle and the probability knowledge and present different setting strategies for each property, and then deduce the state transition formula for Storage Cellular. This model can be used to study various internal laws when setting different properties. The paper discusses the probability that the hotspot data appear. For the hotspot data, two placement strategies are set to prevent the hotspot data from affecting the performance of the abstract model. Finally, we implement a simulation model and do some simulation tests, which include the average response time of access request, which reflects quality of service (QoS) of this system, and the change state of the stored file in Storage Cellular, which reflects the status of the data flowing between the neighbor cells. The paper explains the simulation results and the simulation results are consistent with the expected results.
机译:现有用于研究复杂云存储的方法不能有效地表达其内部。本文对现实的云存储系统进行了抽象,并提出了一种由存储蜂窝和客户端蜂窝组成的云存储自动机模型,并通过细胞自动机的理论对其进行了分析。我们不仅定义了分别由多个属性组成的存储蜂窝和客户端蜂窝的状态,而且还通过“设置”原理和概率知识对每个属性进行了分析,并对每个属性提出了不同的设置策略,然后推导了状态转换公式。储存蜂窝电话。设置不同的属性时,该模型可用于研究各种内部定律。本文讨论了热点数据出现的可能性。对于热点数据,设置了两种放置策略以防止热点数据影响抽象模型的性能。最后,我们实现一个仿真模型并进行一些仿真测试,包括访问请求的平均响应时间(反映该系统的服务质量(QoS))以及存储单元中存储文件的更改状态(该信息反映了系统的服务质量)。在相邻小区之间流动的数据的状态。本文解释了仿真结果,仿真结果与预期结果一致。

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