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Virtual Machine Power Accounting with Shapley Value

机译:虚拟机功率占福利价值

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The ever-increasing power consumption of datacenters has eaten up a large portion of their profit. One possible solution is to charge datacenter users for their actual power usage. However, it poses a great technical challenge as the power of VMs co-existing in a physical machine cannot be measured directly. It is thus critical to develop a fair method to disaggregate the power of a physical machine to individual VMs. We tackle the above challenge by modeling the power disaggregation problem as a cooperative game and propose non-deterministic Shapley value to discover the fair power share of VMs (in the sense of satisfying four desired axiomatic principles), while compensating the negative impact of VM power variation. We demonstrate that the results from existing power model-based solution can deviate from the "ground truth" by 25.22% ~ 46.15%. And compared with the exact Shapley value, our non-deterministic Shapley value can achieve less than 5% error for 90% of the time.
机译:日益增长的数据中心的功耗已经消耗了大部分利润。一种可能的解决方案是为其实际电源使用充电数据中心用户。但是,由于无法直接测量实际机器中的VMS的力量,它构成了很大的技术挑战。因此,开发一个公平的方法来分解物理机器的功率至单独的VM是至关重要的。我们通过将权力分列问题建模为合作游戏来解决上述挑战,并提出了非确定性的福利值,以发现VM的公平功率份额(在满足四个所需的公理原理的意义上),同时补偿VM功率的负面影响变化。我们证明了现有的基于电力模型的解决方案的结果可以偏离“地面真理”25.22%〜46.15%。与精确的福芙值相比,我们的非确定性福利值可以达到90%的时间误差低于5%。

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