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Performance Modeling to Divide Performance Interference of Virtualization and Virtual Machine Combination

机译:划分虚拟化和虚拟机组合性能干扰的性能建模

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When we evaluate performance of a virtualized system, we should consider two aspects, performance interference and the number of virtual machine (VM) combinations. Performance interference is caused by sharing physical resources among VMs and virtual machine monitor (VMM) scheduling. We should precisely incorporate these effects into performance evaluation. We also need to evaluate many VM combinations to find the optimal consolidation of servers, therefore, it is important we apply an efficient evaluation method to reduce evaluation time. We propose a layered performance model to address these aspects. We regard a virtualized system as a combination of two layers: one consisting of VMs and the other consisting of VMM and physical resources. We construct a performance model for each layer. We apply the white-box approach to the VM layer model and the black-box approach to the VMM/physical resource layer model. The white-box model is flexible for representing many VM combinations and the black-box model incorporates performance interference. By allocating each aspect to each model, our proposed model evaluates performance precisely and efficiently. We discuss the effectiveness of our proposed model with a case study of storage I/O contention.
机译:在评估虚拟化系统的性能时,应考虑两个方面,即性能干扰和虚拟机(VM)组合的数量。性能干扰是由VM之间共享物理资源和虚拟机监视器(VMM)调度引起的。我们应该将这些影响精确地纳入绩效评估。我们还需要评估许多VM组合以找到服务器的最佳整合,因此,应用有效的评估方法以减少评估时间很重要。我们提出了一个分层的性能模型来解决这些方面。我们将虚拟化系统视为两层的组合:一层由VM组成,另一层由VMM和物理资源组成。我们为每一层构建一个性能模型。我们将白盒方法应用于VM层模型,将黑盒方法应用于VMM /物理资源层模型。白盒模型可以灵活地表示许多VM组合,而黑盒模型则包含了性能干扰。通过将各个方面分配给每个模型,我们提出的模型可以准确有效地评估性能。我们以存储I / O争用的案例研究讨论了我们提出的模型的有效性。

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