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A New Resources Provisioning Method Based on QoS Differentiation and VM Resizing in IaaS

机译:IaaS中基于QoS区分和虚拟机大小调整的资源调配新方法

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In order to improve the host energy efficiency in IaaS, we proposed an adaptive host resource provisioning method, CoST, which is based on QoS differentiation and VM resizing. The control model can adaptively adjust control parameters according to real time application performance, in order to cope with changes in load. CoST takes advantage of the fact that different types of applications have different sensitivity degrees to performance and cost. It places two different types of VMs on the same host and dynamically adjusts their sizes based on the load forecasting and QoS feedback. It not only guarantees the performance defined in SLA, but also keeps the host running in energy-efficient state. Real Google cluster trace and host power data are used to evaluate the proposed method. Experimental results show that CoST can provide performance-sensitive application with a steady QoS and simultaneously speed up the overall processing of performance-tolerant application by 20~66%. The host energy efficiency is significantly improved by 7~23%.
机译:为了提高IaaS中的主机能效,我们提出了一种基于QoS区分和VM调整大小的自适应主机资源供应方法CoST。控制模型可以根据实时应用性能自适应地调整控制参数,以应对负载的变化。 CoST充分利用了以下事实:不同类型的应用程序对性能和成本的敏感度不同。它将两种不同类型的VM放在同一主机上,并根据负载预测和QoS反馈动态调整其大小。它不仅可以保证SLA中定义的性能,还可以使主机保持节能状态。真实的Google集群跟踪和主机功率数据用于评估所提出的方法。实验结果表明,CoST可以为性能敏感的应用程序提供稳定的QoS,同时将性能可接受的应用程序的整体处理速度提高20%至66%。主机的能效显着提高了7〜23%。

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