云计算现货实例的定价与投标策略

Jiayi Song, R. Guérin
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引用次数: 11

摘要

我们考虑了一种基于现货实例的云服务,并分别探索了旨在优化用户效用和提供商收入的投标和定价策略。我们的重点是在评估和对执行延迟的敏感性上都是异构的作业。特别令人感兴趣的是这两个维度的相关性的影响。我们在一些简化的假设下描述了最优投标和定价策略,更重要的是强调了相关性在确定现货服务优于按需服务方面的影响。我们还在更一般的假设下对结果的稳健性进行了初步评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pricing and bidding strategies for cloud computing spot instances
We consider a cloud service based on spot instances and explore bidding and pricing strategies aimed at optimizing users' utility and provider's revenue, respectively. Our focus is on jobs that are heterogeneous in both valuation and sensitivity to execution delay. Of particular interest is the impact of correlation in these two dimensions. We characterize optimal bidding and pricing strategies under some simplifying assumptions, and more importantly highlight the impact of correlation in determining the benefits of a spot service over an on-demand service. We also provide a preliminary assessment of the results' robustness under more general assumptions.
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