为什么工作流中断——理解和对抗Taverna工作流中的衰减

Jun Zhao, José Manuél Gómez-Pérez, Khalid Belhajjame, G. Klyne, Esteban García-Cuesta, Aleix Garrido, K. Hettne, M. Roos, D. D. Roure, C. Goble
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引用次数: 114

摘要

工作流通过显式地对其过程进行编码,为保存科学方法提供了一种流行的方法。然而,随着时间的推移,它们中的一些在重新执行或重现相同结果的能力上受到衰减的影响,这主要是由于工作流执行所需资源的不稳定性。本文基于对myExperiment存储库中的Taverna工作流集合的实证研究,对工作流衰减的根本原因进行了分析。尽管我们的分析是基于特定类型的工作流,但结果和方法应该适用于来自其他系统的工作流,至少是那些执行也主要依赖于访问第三方资源的工作流。基于我们对衰减的理解,我们建议将一组最小的辅助资源与工作流一起保存为一个聚合对象,并为最终用户提供一个软件工具来创建这样的聚合并评估它们的完整性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why workflows break — Understanding and combating decay in Taverna workflows
Workflows provide a popular means for preserving scientific methods by explicitly encoding their process. However, some of them are subject to a decay in their ability to be re-executed or reproduce the same results over time, largely due to the volatility of the resources required for workflow executions. This paper provides an analysis of the root causes of workflow decay based on an empirical study of a collection of Taverna workflows from the myExperiment repository. Although our analysis was based on a specific type of workflow, the outcomes and methodology should be applicable to workflows from other systems, at least those whose executions also rely largely on accessing third-party resources. Based on our understanding about decay we recommend a minimal set of auxiliary resources to be preserved together with the workflows as an aggregation object and provide a software tool for end-users to create such aggregations and to assess their completeness.
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