Discount Schemes for the Preemptible Service of a Cloud Platform with Unutilized Capacity

Shi Chen, K. Moinzadeh, Yong Tan
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引用次数: 12

Abstract

Rapid growth in the cloud industry not only provides tremendous opportunities to cloud providers who have invested heavily in computing capacities, but also leads to low utilization of capacities at times. To alleviate this problem, some providers have launched a low-priority service with the so-called preemptible or spot instances, which allows them to reclaim capacities when necessary. This study focuses on an emerging market segment of customers with fault-tolerant computing jobs, who are the potential users of the preemptible instances. Through an analytical model that captures the underlying supply-demand dynamics, we examine a prevalent discount scheme, which provides all users the same discount, and its impact on key performance measures. Having realized that this is a relatively new market segment and there is room for improvement in discount-scheme designs, we propose an interruption-based discount scheme, which provides compensation to users based on the frequency of interruptions encountered by each of them. Our study suggests that the proposed scheme is fairer than the prevalent scheme from the customers’ perspective and that, in the presence of risk-averse customers, the cloud provider could be better off by adopting the proposed scheme when the supply of the surplus capacity is highly uncertain.
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未利用容量云平台可抢占服务的折扣方案
云计算行业的快速增长不仅为在计算能力上投入巨资的云计算提供商提供了巨大的机会,而且有时也会导致容量利用率较低。为了缓解这个问题,一些提供商推出了一种低优先级的服务,这种服务具有所谓的可抢占性或spot实例,允许它们在必要时回收容量。本研究关注的是具有容错计算工作的新兴市场客户,他们是可抢占实例的潜在用户。通过捕获潜在供需动态的分析模型,我们研究了一种普遍的折扣方案,它为所有用户提供相同的折扣,以及它对关键绩效指标的影响。意识到这是一个相对较新的细分市场,折扣方案设计还有改进的空间,我们提出了基于中断的折扣方案,该方案根据每个用户遇到的中断频率向用户提供补偿。我们的研究表明,从客户的角度来看,提议的方案比普遍的方案更公平,并且,在存在风险厌恶的客户的情况下,当剩余容量的供应高度不确定时,云提供商可以通过采用提议的方案获得更好的收益。
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