{"title":"Cloudy with a Spot of Opportunity: Analysis of Spot-Priced VMs for Practical Job Scheduling","authors":"Vedsar Kushwaha, Yogesh L. Simmhan","doi":"10.1109/CCEM.2014.7015488","DOIUrl":null,"url":null,"abstract":"Public Clouds offer elastic computing resources on- demand using a pay-as-you-go model. While this has opened up access to computing infrastructure, the costs for accessing Cloud resources can be a barrier to adoption in emerging markets. Spot- priced virtual machines (VMs) are offered at deep discounts for the same compute capability as fixed price on-demand VMs. But they can be reclaimed by the Cloud provider at any time, affecting reliability. This paper characterises the behaviour of spot-priced VM from Amazon Web Service for the Asia-Pacific and US East Regions, and analyses their practical impact on running jobs on spot VMs. Our simulation study using jobs of diverse sizes evaluates the trade-offs between cost savings over fixed price VMs and job resilience. Our results show that in most cases, for the workloads studied, we can achieve an effective bottom-line cost savings of 80 using spot VMs, with over 95 reliability.","PeriodicalId":143177,"journal":{"name":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCEM.2014.7015488","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Public Clouds offer elastic computing resources on- demand using a pay-as-you-go model. While this has opened up access to computing infrastructure, the costs for accessing Cloud resources can be a barrier to adoption in emerging markets. Spot- priced virtual machines (VMs) are offered at deep discounts for the same compute capability as fixed price on-demand VMs. But they can be reclaimed by the Cloud provider at any time, affecting reliability. This paper characterises the behaviour of spot-priced VM from Amazon Web Service for the Asia-Pacific and US East Regions, and analyses their practical impact on running jobs on spot VMs. Our simulation study using jobs of diverse sizes evaluates the trade-offs between cost savings over fixed price VMs and job resilience. Our results show that in most cases, for the workloads studied, we can achieve an effective bottom-line cost savings of 80 using spot VMs, with over 95 reliability.
公共云使用按需付费模式提供弹性计算资源。虽然这打开了对计算基础设施的访问，但访问云资源的成本可能成为新兴市场采用云计算的障碍。现货价格的虚拟机(vm)提供与固定价格的按需虚拟机相同的计算能力的大幅折扣。但是它们可以随时被云提供商回收，从而影响可靠性。本文描述了Amazon Web Service在亚太和美国东部地区的现货价格VM的行为，并分析了它们对现货VM上运行作业的实际影响。我们的模拟研究使用不同规模的工作来评估固定价格虚拟机的成本节约和工作弹性之间的权衡。我们的结果表明，在大多数情况下，对于所研究的工作负载，我们可以使用spot vm实现有效的底线成本节约80，可靠性超过95。
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