Location, Location, Location: Exploring Amazon EC2 Spot Instance Pricing Across Geographical Regions

Nnamdi Ekwe-Ekwe, A. Barker
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引用次数: 12

Abstract

Cloud computing is a ubiquitous part of the computing landscape. For many companies today, moving their computing infrastructure to the cloud reduces time to deployment and saves money. Spot Instances, a subset of Amazon's cloud computing infrastructure (EC2), expands upon this. They allow a user to bid on spare compute capacity in EC2 at heavily discounted prices. If other bids for the spare capacity exceeds the user's own, the user's instance is terminated. In this paper, we conduct one of the first detailed analyses of how location affects the overall cost of deployment of a Spot Instance. We analyse pricing data across all available AWS regions for 60 days for a variety of Spot Instances. We relate the pricing data we find to the overall AWS region and examine any patterns we see across the week. We find that location plays a critical role in Spot Instance pricing and that pricing differs, sometimes markedly, from region to region. We conclude by showing that it is indeed possible to run workloads on Spot Instances with low risk of termination and a low overall cost.
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位置、位置、位置:探索跨地理区域的Amazon EC2现货实例定价
云计算是计算领域中无处不在的一部分。对于今天的许多公司来说,将他们的计算基础设施迁移到云端减少了部署时间并节省了资金。Spot Instances是Amazon云计算基础设施(EC2)的一个子集,在此基础上进行了扩展。它们允许用户以很大的折扣价格竞标EC2中的备用计算容量。如果其他对备用容量的出价超过用户自己的出价,则终止用户的实例。在本文中,我们对位置如何影响Spot实例部署的总体成本进行了首次详细分析。我们分析了所有可用AWS区域60天内各种现货实例的定价数据。我们将发现的定价数据与整个AWS区域联系起来,并检查我们在一周内看到的任何模式。我们发现,位置在现货实例定价中起着关键作用,并且定价有时会因地区而异,甚至显著不同。最后,我们展示了在Spot实例上运行工作负载具有低终止风险和低总体成本的可能性。
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