Leading cloud providers recently introduced a new instance type named burstable instances to better match the time-varying workloads of tenants and further reduce their costs. In the research community, however, little has been done to understand burstable instances from a theoretical perspective. This paper presents the first unified framework to model, analyze, and optimize the operation of burstable instances. Specifically, we model the resource provisioning of burstable instances, identify key performance metrics, and derive the analytical performance given the resource provisioning decisions. We then characterize the equilibrium behind tenants’ responses to the prices offered for different burstable instance service classes, taking into account the impact of tenants’ actions on the performance achieved by each service class. In addition, we investigate how a cloud provider can leverage knowledge of this equilibrium to find the prices that maximize its total revenue. Finally, we validate our framework on real traces and demonstrate its usage to price burstable offerings in a public cloud.

中文翻译：

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云的可扩展实例：性能建模，均衡分析和收益最大化

领先的云提供商最近推出了一种新的实例类型，名为 易爆的实例以更好地适应租户随时间变化的工作负载并进一步降低其成本。但是，在研究界，从理论角度了解爆炸性实例的工作很少。本文提出了第一个统一框架，用于对可突发实例的操作进行建模，分析和优化。具体来说，我们对可爆发实例的资源供应进行建模，确定关键性能指标，并根据资源供应决策来得出分析性能。然后，我们考虑到租户的行为对每个服务类所实现的绩效的影响，在租户对不同的可爆实例服务类所提供的价格做出响应之后，刻画了均衡。此外，我们研究了云提供商如何利用这一均衡知识来找到使总收入最大化的价格。最后，我们根据真实痕迹验证我们的框架，并在公共云中演示其用于为可爆产品定价的方法。