Skyport - Container-Based Execution Environment Management for Multi-cloud Scientific Workflows

Wolfgang Gerlach, Wei Tang, Kevin P. Keegan, Travis Harrison, Andreas Wilke, Jared Bischof, M. D'Souza, Scott Devoid, Daniel Murphy-Olson, N. Desai, Folker Meyer
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引用次数: 87

Abstract

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. Skyport utilizes Docker Linux containers to solve software deployment problems and resource utilization inefficiencies inherent to all existing scientific workflow platforms. As an extension to AWE/Shock, our data analysis platform that provides scalable workflow execution environments for scientific data in the cloud, Skyport greatly reduces the complexity associated with providing the environment necessary to execute complex workflows.
用于多云科学工作流的基于容器的执行环境管理
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。Skyport利用Docker Linux容器来解决所有现有科学工作流平台固有的软件部署问题和资源利用效率低下。作为AWE/Shock(我们的数据分析平台,为云中的科学数据提供可扩展的工作流执行环境)的扩展,Skyport大大降低了与提供执行复杂工作流所需环境相关的复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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