Provenance management in Swift

被引：11

作者：

Gadelha, Luiz M. R., Jr. ^{[1
,2
]}

Clifford, Ben ^{[3
]}

Mattoso, Marta ^{[1
]}

Wilde, Michael ^{[3
,4
]}

Foster, Ian ^{[3
,4
]}

机构：

[1] Univ Fed Rio de Janeiro, Comp & Syst Engn Program, BR-21941 Rio De Janeiro, Brazil

[2] Natl Lab Sci Comp, Petropolis, Brazil

[3] Univ Chicago, Computat Inst, Chicago, IL 60637 USA

[4] Argonne Natl Lab, Div Math & Comp Sci, Argonne, IL 60439 USA

来源：

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2011年 / 27卷 / 06期

关键词：

Provenance; Parallel scripting languages; Scientific workflows;

D O I：

10.1016/j.future.2010.05.003

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The Swift parallel scripting language allows for the specification, execution and analysis of large-scale computations in parallel and distributed environments. It incorporates a data model for recording and querying provenance information. In this article we describe these capabilities and evaluate the interoperability with other systems through the use of the Open Provenance Model. We describe Swift's provenance data model and compare it to the Open Provenance Model. We also describe and evaluate activities performed within the Third Provenance Challenge, which consisted of implementing a specific scientific workflow, capturing and recording provenance information of its execution, performing provenance queries, and exchanging provenance information with other systems. Finally, we propose improvements to both the Open Provenance Model and Swift's provenance system. (C) 2011 Published by Elsevier B.V.

引用

页码：775 / 780

页数：6

共 50 条

[1] Provenance Management in BioSciences
Ram, Sudha
Liu, Jun
ADVANCES IN CONCEPTUAL MODELING: APPLICATIONS AND CHALLENGES, 2010, 6413 : 54 - 64
[2] UniProv - Provenance Management for UNICORE Workflows in HPC Environments
Giesler, Andre
Czekala, Myriam
Hagemeier, Bjoern
PROVENANCE AND ANNOTATION OF DATA AND PROCESSES, IPAW 2018, 2018, 11017 : 188 - 191
[3] Towards a Taxonomy of Provenance in Scientific Workflow Management Systems
Serra da Cruz, Sergio Manuel
Campos, Maria Luiza M.
Mattoso, Marta
2009 IEEE CONGRESS ON SERVICES (SERVICES-1 2009), VOLS 1 AND 2, 2009, : 259 - +
[4] Provenance management for data quality assessment
Zheng, Hua
Zhu, Qinghua
Wu, Kewen
Journal of Software, 2012, 7 (08) : 1905 - 1910
[5] Cloud infrastructure provenance collection and management to reproduce scientific workflows execution
Hasham, Khawar
Munir, Kamran
McClatchey, Richard
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2018, 86 : 799 - 820
[6] The Perm Provenance Management System in Action
Glavic, Boris
Alonso, Gustavo
ACM SIGMOD/PODS 2009 CONFERENCE, 2009, : 1055 - 1057
[7] Implicit Provenance Gathering through Configuration Management
Neves, Vitor C.
Braganholo, Vanessa
Murta, Leonardo
2013 5TH INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR COMPUTATIONAL SCIENCE AND ENGINEERING (SE-CSE), 2013, : 92 - 95
[8] Challenges of Provenance in Scientific Workflow Management Systems
Alam, Khairul
Roy, Banani
2022 IEEE/ACM WORKSHOP ON WORKFLOWS IN SUPPORT OF LARGE-SCALE SCIENCE, WORKS, 2022, : 10 - 18
[9] Woodland period ceramic provenance and the exchange of Swift Creek Complicated Stamped vessels in the southeastern United States
Wallis, Neill J.
Boulanger, Matthew T.
Ferguson, Jeffrey R.
Glascock, Michael D.
JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2010, 37 (10) : 2598 - 2611
[10] Applying content management to automated provenance capture
Schuchardt, Karen L.
Gibson, Tara
Stepban, Eric
Chin, George, Jr.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2008, 20 (05) : 541 - 554

← 1 2 3 4 5 →