Cloud computing applications for biomedical science: A perspective.

Cloud computing applications for biomedical science: A perspective.
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DOI:
10.1371/journal.pcbi.1006144
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发表时间:
2018-06
影响因子:
4.3
通讯作者:
Bourne PE
Bourne PE
中科院分区:
生物学2区
文献类型:
--
作者:
Navale V;Bourne PE

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生物医学研究已经成为一项数字数据密集型奋进,依赖于安全和可扩展的计算,存储和网络基础设施,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学应用,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按需付费的服务,如硬件基础设施,平台和软件,用于解决常见的生物医学计算问题。云计算服务提供安全的按需存储和分析,并通过其服务的快速可用性和可扩展性与传统的高性能计算区分开来。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,我们提供了一个关于云计算的介绍性观点,以帮助读者确定其对自己研究的价值。
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.
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