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Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability
ACM Transactions on Autonomous and Adaptive Systems ( IF 2.7 ) Pub Date : 2018-05-22 , DOI: 10.1145/3139291
Cheng Wang 1 , Bhuvan Urgaonkar 1 , George Kesidis 1 , Aayush Gupta 2 , Lydia Y. Chen 3 , Robert Birke 3
Affiliation  

In this article, we explore the efficacy of dynamic effective capacity modulation (i.e., using virtualization techniques to offer lower resource capacity than that advertised by the cloud provider) as a control knob for a cloud provider’s profit maximization complementing the more well-studied approach of dynamic pricing. In particular, our focus is on emerging cloud ecosystems wherein we expect tenants to modify their demands strategically in response to such modulation in effective capacity and prices. Toward this, we consider a simple model of a cloud provider that offers a single type of virtual machine to its tenants and devise a leader/follower game-based cloud control framework to capture the interactions between the provider and its tenants. We assume both parties employ myopic control and short-term predictions to reflect their operation under the high dynamism and poor predictability in such environments. Our evaluation using a combination of real data center traces and real-world benchmarks hosted on a prototype OpenStack-based cloud shows 10% to 30% profit improvement for a cloud provider compared with baselines that use static pricing and/or static effective capacity.

中文翻译:

有效容量调制作为公共云盈利能力的显式控制旋钮

在本文中,我们探讨了动态有效容量调制(即使用虚拟化技术提供比云提供商所宣传的更低的资源容量)作为云提供商利润最大化的控制旋钮的功效,以补充更深入研究的方法动态定价。特别是,我们的重点是新兴的云生态系统,我们希望租户能够战略性地修改他们的需求,以应对有效容量和价格的这种调整。为此,我们考虑了一个简单的云提供商模型,它向其租户提供单一类型的虚拟机,并设计一个基于领导者/跟随者游戏的云控制框架来捕获提供商与其租户之间的交互。我们假设双方都采用短视控制和短期预测来反映他们在这种环境下的高活力和低可预测性下的运作。我们结合使用基于 OpenStack 的原型云上托管的真实数据中心跟踪和真实世界基准进行的评估表明,与使用静态定价和/或静态有效容量的基准相比,云提供商的利润提高了 10% 到 30%。
更新日期:2018-05-22
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