Pricing and Bidding Strategies for Cloud Computing Spot Instances

被引：0
|
作者：
Song, Jiayi [1 ]
Guerin, Roch [1 ]
机构：
[1] Washington Univ, Dept Comp Sci & Engn, St Louis, MO 63130 USA
来源：
2017 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | 2017年
关键词：
MANAGEMENT;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：647 / 653
页数：7
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