Center for Information Technology, National Institutes of Health, Bethesda, Maryland, United States of America.
Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States of America.
PLoS Comput Biol. 2018 Jun 14;14(6):e1006144. doi: 10.1371/journal.pcbi.1006144. eCollection 2018 Jun.
Biomedical research has become a digital data-intensive endeavor, relying on secure and scalable computing, storage, and network infrastructure, which has traditionally been purchased, supported, and maintained locally. For certain types of biomedical applications, cloud computing has emerged as an alternative to locally maintained traditional computing approaches. Cloud computing offers users pay-as-you-go access to services such as hardware infrastructure, platforms, and software for solving common biomedical computational problems. Cloud computing services offer secure on-demand storage and analysis and are differentiated from traditional high-performance computing by their rapid availability and scalability of services. As such, cloud services are engineered to address big data problems and enhance the likelihood of data and analytics sharing, reproducibility, and reuse. Here, we provide an introductory perspective on cloud computing to help the reader determine its value to their own research.
生物医药研究已成为一项数字化数据密集型工作,依赖于安全且可扩展的计算、存储和网络基础设施,而这些基础设施传统上是在本地购买、支持和维护的。对于某些类型的生物医药应用,云计算已经成为本地维护的传统计算方法的替代方案。云计算为用户提供了即用即付的服务访问权限,例如用于解决常见生物医药计算问题的硬件基础设施、平台和软件。云计算服务提供安全的按需存储和分析,与传统的高性能计算不同,它们具有快速可用性和服务的可扩展性。因此,云服务旨在解决大数据问题,并提高数据和分析共享、可重复性和重用的可能性。在这里,我们提供了云计算的入门视角,以帮助读者确定其对自己研究的价值。