Cost-Aware Cloud Provisioning
Cost-Aware Cloud Provisioning
复制标题
成本感知型云配置
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Ian T Foster
中科院分区：
文献类型：
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作者：
Ryan Chard;K. Chard;K. Bubendorfer;Lukasz Lacinski;Ravi K. Madduri;Ian T Foster
云计算通常被认为是执行和扩展科学分析的低成本和可扩展模型。然而，虽然云计算的好处经常被吹捧，但与高效和经济高效地扩展执行相关的固有技术挑战。我们在这里描述了一个具有成本意识的弹性配置，旨在根据用户提交的科学工作流的要求动态地、经济高效地配置云基础设施。我们的产品用于Globus Galerkin平台-一个使用商业云基础设施的科学分析功能的软件即服务提供商。使用该平台的生产使用的工作负载，我们调查了我们的provisionary在成本，现货实例终止率和执行时间方面的性能。与在单个可用性区域中使用单个实例类型的最坏情况相比，我们证明了六个生产网关的成本节省高达95%，总执行时间缩短12%。
Cloud computing is often suggested as a low-cost and scalable model for executing and scaling scientific analyses. However, while the benefits of cloud computing are frequently touted, there are inherent technical challenges associated with scaling execution efficiently and cost-effectively. We describe here a cost-aware elastic provisioner designed to dynamically and cost-effectively provision cloud infrastructure based on the requirements of user-submitted scientific workflows. Our provisioner is used in the Globus Galaxies platform -- a Software-as-a-Service provider of scientific analysis capabilities using commercial cloud infrastructure. Using workloads from production usage of this platform we investigate the performance of our provisioner in terms of cost, spot instance termination rate, and execution time. We demonstrate cost savings across six production gateways of up to 95% and 12% improvement in total execution time when compared to a worst case scenario using a single instance type in a single availability zone.