Automatic capture and efficient storage of e-Science experiment provenance

被引：35

作者：

Barga, Roger S. ^{[1
]}

Digiampietri, Luciano A. ^{[2
]}

机构：

[1] Microsoft Res, Redmond, WA 98052 USA

[2] Univ Estadual Campinas, Inst Comp, Sao Paulo, Brazil

来源：

CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE | 2008年 / 20卷 / 05期

关键词：

provenance model; automatic provenance capture; efficient provenance storage;

D O I：

10.1002/cpe.1235

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

For the first provenance challenge, we introduce a layered model to represent workflow provenance that allows navigation from an abstract model of the experiment to instance data collected during a specific experiment run. We outline modest extensions to a commercial workflow engine so it will automatically capture provenance at workflow runtime. We also present an approach to store this provenance data in a relational database. Finally, we demonstrate how core provenance queries in the challenge can be expressed in SQL and discuss the merits of our layered representation. Copyright (C) 2007 John Wiley & Sons, Ltd.

引用

页码：419 / 429

页数：11

共 11 条

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[10]

[No title captured]

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