A Provenance Approach to Trace Scientific Experiments on a Grid Infrastructure

A. Benabdelkader, M. Santcroos, S. Madougou, A. V. Kampen, S. Olabarriaga
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引用次数: 16

Abstract

Large experiments on distributed infrastructures become increasingly complex to manage, in particular to trace all computations that gave origin to a piece of data or an event such as an error. The work presented in this paper describes the design and implementation of an architecture to support experiment provenance and its deployment in the concrete case of a particular e-infrastructure for biosciences. The proposed solution consists of: (a) a data provenance repository to capture scientific experiments and their execution path, (b) a software tool (crawler) that gathers, classifies, links, and stores the information collected from various sources, and (c) a set of user interfaces through which the end-user can access the provenance data, interpret the results, and trace the sources of failure. The approach is based on an OPM-compliant API, PLIER, that is flexible to support future extensions and facilitates interoperability among heterogeneous application systems.
网格基础设施上科学实验溯源方法研究
分布式基础设施上的大型实验管理起来变得越来越复杂,特别是跟踪所有产生数据或事件(如错误)的计算。本文介绍的工作描述了一个架构的设计和实现,以支持实验来源及其在生物科学特定电子基础设施的具体案例中的部署。提出的解决方案包括:(a)捕获科学实验及其执行路径的数据来源存储库,(b)收集、分类、链接和存储从各种来源收集的信息的软件工具(爬虫),以及(c)一组用户界面,最终用户可以通过该用户界面访问来源数据,解释结果并跟踪故障来源。该方法基于opm兼容的API PLIER,它可以灵活地支持未来的扩展,并促进异构应用程序系统之间的互操作性。
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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