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A BRS-Based Approach to Model and Verify Cloud Systems Elasticity

机译:基于BRS的云系统弹性建模和验证方法

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Elasticity is actually one major and important asset for cloud-based systems. This property grants this kind of systems the ability to dynamically adjust their resources allocation by scaling up/down when needed in autonomic manner, allowing them to capitalize resource utilization, and maintain a suitable quality of service. In this paper, we lean on formal methods to give a precise and sufficient semantics to cloud system elasticity. We propose a unique semantic framework based on bigraphical reactive systems (BRS) for modeling both structural and behavioral aspects of cloud-based systems. Besides, Maude system serves to simulate and verify the elasticity property inherent to these systems using many model-checking techniques as the model-checking invariants one.
机译:弹性实际上是基于云的系统的一项主要和重要资产。此属性使此类系统能够通过按需要以自治方式按比例放大/缩小来动态调整其资源分配,从而使它们能够利用资源,并维持适当的服务质量。在本文中,我们依靠形式化方法来为云系统弹性提供精确而充分的语义。我们提出了一种基于双向反应系统(BRS)的独特语义框架,用于对基于云的系统的结构和行为方面进行建模。此外,Maude系统还使用许多模型检查技术作为模型检查不变量之一来模拟和验证这些系统固有的弹性特性。

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