The Globus Galaxies platform: delivering science gateways as a service

The Globus Galaxies platform: delivering science gateways as a service
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Globus Galaxies 平台:提供科学网关即服务

DOI:
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发表时间:
2015
期刊:
Concurrency and Computation
影响因子:
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通讯作者:
Ian T Foster
Ian T Foster
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文献类型:
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作者:
Ravi K. Madduri;K. Chard;Ryan Chard;Lukasz Lacinski;Alex Rodriguez;Dinanath Sulakhe;David Kelly;Utpal J. Davé;Ian T Foster

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使用公共云计算机托管复杂的科学数据和软件正在改变科学实践,使人们能够广泛获得以前只有少数人才能获得的能力。到目前为止,更广泛地使用公共云托管科学软件(“基于云的科学网关”)的主要障碍是科学应用的专业需求与云基础设施提供的功能之间的巨大差距。我们在这里描述了一个独立于域的、基于云的科学网关平台Globus Galerkin平台,它通过提供一组直接满足科学网关开发人员需求的托管服务来克服这一差距。该平台的设计和实施利用了我们在Globus Genomics的多年经验,Globus Genomics是一个基于云的科学网关,已为30个机构的200多名基因组学研究人员提供服务。在此基础上,我们实现了一个平台,该平台利用流行的Galaxy系统进行应用托管和工作流执行; Globus服务用于数据传输、用户和组管理以及身份验证;以及专门针对公共云资源的成本感知弹性配置模型。我们在这里描述了这个平台的功能和架构,介绍了我们成功应用它的六个科学领域,报告了用户体验,并分析了我们部署的经济性。2015年出版。本条目属于美国政府作品,在美国属于公有领域。
The use of public cloud computers to host sophisticated scientific data and software is transforming scientific practice by enabling broad access to capabilities previously available only to the few. The primary obstacle to more widespread use of public clouds to host scientific software (‘cloud‐based science gateways’) has thus far been the considerable gap between the specialized needs of science applications and the capabilities provided by cloud infrastructures. We describe here a domain‐independent, cloud‐based science gateway platform, the Globus Galaxies platform, which overcomes this gap by providing a set of hosted services that directly address the needs of science gateway developers. The design and implementation of this platform leverages our several years of experience with Globus Genomics, a cloud‐based science gateway that has served more than 200 genomics researchers across 30 institutions. Building on that foundation, we have implemented a platform that leverages the popular Galaxy system for application hosting and workflow execution; Globus services for data transfer, user and group management, and authentication; and a cost‐aware elastic provisioning model specialized for public cloud resources. We describe here the capabilities and architecture of this platform, present six scientific domains in which we have successfully applied it, report on user experiences, and analyze the economics of our deployments. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.
使用 Eureka! 基于时间抽象的临床表型分析!
DOI: --
发表时间: 2013
期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
影响因子: --
作者:
Post,AndrewR;Kurc,Tahsin;Willard,Richie;Rathod,Himanshu;Mansour,Michel;Pai,AkshathaKalsanka;Torian,WilliamM;Agravat,Sanjay;Sturm,Suzanne;Saltz,JoelH
通讯作者: Saltz,JoelH