A performance evaluation of TopHat RNA sequences alignment tool on openstack-based cloud environments

L. Foschini, Alessandro Pernafini, Antonio Corradi, M. Rosati, Alessandro Federico, G. Fiameni
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引用次数: 4

Abstract

Despite its great promises, current Cloud offering has not been fully exploited for the management of Next-Generation Sequencing technologies. In fact, while dynamic resource allocation is typically required to ensure efficient and effective usage of the Cloud resources, Cloud providers have to deal with complex services, usually treated as black-boxes; hence, the estimation of the maximum number of resources that could improve service execution is a big challenge. This paper proposes and explores the benefits of Cloud deployment when operating a processor-hungry RNA alignment tool. The goal is to show the advantages of the virtualized and Cloud-aware approach compared to a typical bare-metal deployment. Extensive results demonstrate that our approach is as a viable first step toward easing the deployment and improving run-time service scaling.
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TopHat RNA序列比对工具在开放式云环境下的性能评价
尽管有很大的希望,目前的云产品还没有完全用于下一代测序技术的管理。事实上,虽然通常需要动态资源分配来确保高效和有效地使用云资源,但云提供商必须处理复杂的服务,这些服务通常被视为黑盒;因此,估计可以改善服务执行的最大资源数量是一个很大的挑战。本文提出并探讨了云部署在操作处理器饥渴的RNA比对工具时的好处。我们的目标是展示与典型裸机部署相比,虚拟化和云感知方法的优势。广泛的结果表明,我们的方法是简化部署和改进运行时服务扩展的可行的第一步。
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