保证物有所值:对具有保证服务质量的VDI应用程序进行建模

Hao Wen, D. Du, Milan M. Shetti, Doug Voigt, Shanshan Li
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引用次数: 2

摘要

在云环境中,大部分服务是由虚拟机提供的。为虚拟机提供存储服务质量(QoS)对用户体验至关重要,同时也具有挑战性。它首先需要对VM需求进行准确的估计和描述,然而,人们通常通过经验法则来描述这一点。计算环境中虚拟机的多样性和特殊性加剧了这些问题。本文选择虚拟桌面基础架构(Virtual Desktop Infrastructure, VDI)这一流行而复杂的虚拟机应用来表征虚拟机的QoS需求,并以最少的资源保证QoS。我们建立了一个模型来描述VDI的QoS需求。我们从HP收集了真实的VDI轨迹来验证模型的正确性。然后生成VDI的QoS需求并确定瓶颈。基于此,我们可以知道为了满足给定的VDI配置和QoS需求,存储设备需要的最小功能是什么。通过与行业经验的比较,对模型进行了验证。我们的模型可以描述随时间和虚拟磁盘类型变化的更细粒度的VM需求,并为VDI的存储大小提供更大的信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Guaranteed Bang for the Buck: Modeling VDI Applications with Guaranteed Quality of Service
In cloud environment, most services are provided by virtual machines (VMs). Providing storage quality of service (QoS) for VMs is essential to user experiences while challenging. It first requires an accurate estimate and description of VM requirements, however, people usually describe this via rules of thumb. The problems are exacerbated by the diversity and special characteristics of VMs in a computing environment. This paper chooses Virtual Desktop Infrastructure (VDI), a prevalent and complicated VM application, to characterize QoS requirements of VMs and to guarantee QoS with minimal required resources. We create a model to describe QoS requirements of VDI. We have collected real VDI traces from HP to validate the correctness of the model. Then we generate QoS requirements of VDI and determine bottlenecks. Based on this, we can tell what minimum capability a storage appliance needs in order to satisfy a given VDI configuration and QoS requirements. By comparing with industry experience, we validate our model. And our model can describe more fine-grained VM requirements varying with time and virtual disk types, and provide more confidence on sizing storage for VDI as well.
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