Eleven quick tips for architecting biomedical informatics workflows with cloud computing.
Eleven quick tips for architecting biomedical informatics workflows with cloud computing.
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DOI：
10.1371/journal.pcbi.1005994
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发表时间：
2018-03
影响因子：
4.3
通讯作者：
Moore JH
中科院分区：
文献类型：
--
作者：
Cole BS;Moore JH
云计算在不同的技术领域彻底改变了硬件和软件的开发和运营，然而，尽管云计算提供了众多重要的优势，但学术生物医学研究却落后了。采用云计算的生物医学研究人员可以在降低成本、减少开发和维护工作量、提高可重复性、轻松共享数据和软件、增强安全性、水平和垂直可扩展性、高可用性、蓬勃发展的技术合作伙伴生态系统等方面获得回报。尽管基于云的工作流提供了这些优势，但学术界开发的大多数科学软件都没有利用云计算，必须由用户迁移到云。在本文中，我们提供了在计算云上构建生物医学信息学工作流程的11个快速提示，提取了从在世界上最大的云上开发、操作、维护和分发软件和虚拟化设备的经验中获得的知识。遵循这些提示的研究人员可以通过将工作流程迁移到云计算并接受抽象范式来立即受益。云计算已经彻底改变了科技行业，但学术界采用的速度很慢。这11个快速提示旨在帮助学术研究人员及其团队通过利用过去十年中发展的设计模式来利用云计算的力量。云计算可以提高可重复性、可扩展性、弹性、容错性、安全性、易用性、成本和时间效率等等。
Cloud computing has revolutionized the development and operations of hardware and software across diverse technological arenas, yet academic biomedical research has lagged behind despite the numerous and weighty advantages that cloud computing offers. Biomedical researchers who embrace cloud computing can reap rewards in cost reduction, decreased development and maintenance workload, increased reproducibility, ease of sharing data and software, enhanced security, horizontal and vertical scalability, high availability, a thriving technology partner ecosystem, and much more. Despite these advantages that cloud-based workflows offer, the majority of scientific software developed in academia does not utilize cloud computing and must be migrated to the cloud by the user. In this article, we present 11 quick tips for architecting biomedical informatics workflows on compute clouds, distilling knowledge gained from experience developing, operating, maintaining, and distributing software and virtualized appliances on the world’s largest cloud. Researchers who follow these tips stand to benefit immediately by migrating their workflows to cloud computing and embracing the paradigm of abstraction. Cloud computing has revolutionized the tech sector, but academia is slow to adopt. These 11 quick tips are geared towards helping academic researchers and their teams harness the power of cloud computing by utilizing the design patterns that have evolved in the past decade. Cloud computing can increase reproducibility, scalability, resilience, fault-tolerance, security, ease of use, cost- and time-efficiency, and much more.
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影响因子：
11.1
作者：
Grossman RL;White KP
通讯作者：
White KP
DOI：
10.1126/science.1213847
发表时间：
2011-12-02
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Peng RD
通讯作者：
Peng RD
DOI：
10.1186/s13677-014-0007-3
发表时间：
2014-01-01
影响因子：
4
作者：
Yamato, Yoji;Muroi, Masahito;Uchimura, Mitsutomo
通讯作者：
Uchimura, Mitsutomo
影响因子：
4.3
作者：
Fusaro VA;Patil P;Gafni E;Wall DP;Tonellato PJ
通讯作者：
Tonellato PJ
影响因子：
4.3
作者：
Sandve GK;Nekrutenko A;Taylor J;Hovig E
通讯作者：
Hovig E