Cloud Pricing: The Spot Market Strikes Back

Ludwig Dierks, Sven Seuken
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引用次数: 39

Abstract

Cloud computing providers must constantly hold many idle compute instances available (e.g., for maintenance, or for users with long-term contracts). A natural idea to increase the provider's profit is to sell these idle instances on a spot market where users can be preempted. However, this ignores the possible "market cannibalization'' that may occur in equilibrium. In particular, users who would generate more profit in the provider's existing fixed-price market might move to the spot market and generate less profit. In this paper, we model the provider's profit optimization problem using queuing theory and game theory and analyze the equilibria of the resulting queuing system. Our main result is an easy-to-check condition under which offering a market consisting of fixed-price instances as well as some spot instances (using idle resources) increases the provider's profit over offering only fixed-price instances. Furthermore, we show that under our condition, such a profit increase can always be combined with a Pareto improvement for the users. Finally, we illustrate our results numerically to demonstrate the effects the provider's costs and her strategy have on her profit. Full paper: https://ssrn.com/abstract=3383420
云定价:现货市场的反击
云计算提供商必须不断保持许多空闲的计算实例可用(例如,用于维护,或用于有长期合同的用户)。为了增加提供商的利润,一个自然的想法是在现货市场上出售这些闲置的实例,在那里用户可以被抢占。然而,这忽略了均衡状态下可能发生的“市场蚕食”。特别是,在供应商现有的固定价格市场中产生更多利润的用户可能会转移到现货市场,从而产生更少的利润。本文利用排队论和博弈论对供应商的利润优化问题进行了建模,并分析了由此产生的排队系统的均衡问题。我们的主要结果是一个易于检查的条件,在这个条件下,提供一个由固定价格实例和一些现货实例(使用空闲资源)组成的市场比只提供固定价格实例增加了提供商的利润。进一步,我们证明了在我们的条件下,这样的利润增长总是可以与用户的帕累托改进相结合。最后,我们用数字来说明我们的结果,以证明供应商的成本和她的策略对她的利润的影响。全文:https://ssrn.com/abstract=3383420
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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