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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Building Semi-Elastic Virtual Clusters for Cost-Effective HPC Cloud Resource Provisioning
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Building Semi-Elastic Virtual Clusters for Cost-Effective HPC Cloud Resource Provisioning

机译：构建具有成本效益的HPC云资源配置的半弹性虚拟集群

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摘要

Recent studies have found cloud environments increasingly appealing for executing HPC applications, including tightly coupled parallel simulations. At the same time, while public clouds offer elastic, on-demand resource provisioning and pay-as-you-go pricing, individual users setting up their on-demand virtual clusters may not be able to take full advantage of common cost-saving opportunities, such as reserved instances. In this paper, we propose a Semi-Elastic Cluster (SEC) computing model for organizations to reserve and dynamically resize a virtual cloud-based cluster. We present a set of integrated batch scheduling plus resource scaling strategies uniquely enabled by SEC, as well as an online reserved instance provisioning algorithm based on job history. Our trace-driven simulation results show that such a model has a 61.0 percent cost saving than individual users acquiring and managing cloud resources without causing longer average job wait time. Moreover, to exploit the advantages of different public clouds, we also extend SEC to a multi-cloud environment, where SEC can get a lower cost than on any single cloud. We design and implement a prototype system of the SEC model and evaluate it in terms of management overhead and average job wait time. Experimental results show that the management overhead is negligible with respect to the job wait time.
机译：最近的研究发现，云环境对于执行HPC应用程序（包括紧密耦合的并行模拟）越来越有吸引力。同时，尽管公共云提供了弹性的按需资源配置和按需购买定价，但设置按需虚拟集群的单个用户可能无法充分利用常见的节省成本的机会，例如预留实例。在本文中，我们提出了一种半弹性群集（SEC）计算模型，供组织保留和动态调整基于虚拟云的群集的大小。我们介绍了一组由SEC唯一启用的集成批处理调度以及资源扩展策略，以及基于作业历史的在线预留实例预配置算法。我们的跟踪驱动模拟结果表明，与单个用户获取和管理云资源相比，这种模型节省了61.0％的成本，而不会导致平均工作等待时间更长。此外，为了利用不同的公共云的优势，我们还将SEC扩展到多云环境中，在SEC环境中SEC可以获得比任何单个云更低的成本。我们设计并实现了SEC模型的原型系统，并根据管理开销和平均作业等待时间对其进行了评估。实验结果表明，就工作等待时间而言，管理开销可以忽略不计。

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