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

Daichi Kimura, Eriko Numata, Masato Kawatsu
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引用次数: 4

Abstract

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.
划分虚拟化与虚拟机组合性能干扰的性能建模
在评估虚拟化系统的性能时,我们应该考虑两个方面:性能干扰和虚拟机(VM)组合的数量。虚拟机之间共享物理资源和VMM (virtual machine monitor)调度会对性能造成干扰。我们应该准确地将这些影响纳入绩效评估。我们还需要评估许多VM组合以找到最佳的服务器整合,因此,应用有效的评估方法来减少评估时间是很重要的。我们提出了一个分层的性能模型来解决这些问题。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。我们对VM层模型采用白盒方法,对VMM/物理资源层模型采用黑盒方法。白盒模型可以灵活地表示许多VM组合,而黑盒模型则包含性能干扰。通过将每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。我们通过一个存储I/O争用的案例研究来讨论我们提出的模型的有效性。
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