科学工作流的容器编排

Wolfgang Gerlach, Wei Tang, Andreas Wilke, Dan Olson, Folker Meyer
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引用次数: 13

摘要

最近,Linux容器技术因为承诺改变软件开发和部署的方式而备受关注。可移植性和易于部署使Linux容器成为科学工作流平台中使用的理想技术。AWE/Shock是一个可扩展的数据分析平台,旨在执行数据密集型科学工作流程。最近我们介绍了Skyport,这是AWE/Shock的扩展,它使用Docker容器技术来编排和自动部署单个工作流任务到工作机器上。在每个任务的独立执行环境中安装软件降低了复杂性,并为库版本冲突等安装问题提供了一种优雅的解决方案。系统地使用工作流任务的隔离执行环境也提供了一种方便和简单的机制来重现科学结果。
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Container Orchestration for Scientific Workflows
Recently, Linux container technology has been gaining attention as it promises to transform the way software is developed and deployed. The portability and ease of deployment makes Linux containers an ideal technology to be used in scientific workflow platforms. AWE/Shock is a scalable data analysis platform designed to execute data intensive scientific workflows. Recently we introduced Skyport, an extension to AWE/Shock, that uses Docker container technology to orchestrate and automate the deployment of individual workflow tasks onto the worker machines. The installation of software in independent execution environments for each task reduces complexity and offers an elegant solution to installation problems such as library version conflicts. The systematic use of isolated execution environments for workflow tasks also offers a convenient and simple mechanism to reproduce scientific results.
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