Automatic generation of workflow provenance

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4145 LNCS, Issue , 2006, Pages 1-9

  Barga, Roger S ^a   Digiampietri, Luciano A ^b  

^a MICROSOFT RESEARCH   (United States)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; COMPUTER SYSTEMS; DATA FLOW ANALYSIS; DATA HANDLING; DATA STORAGE EQUIPMENT; INFERENCE ENGINES; MATHEMATICAL MODELS;

E-SCIENCE; ENACTMENT ENGINES; WORKFLOW PROVENANCE;

DATA REDUCTION;

EID: 33750073829     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11890850_1     Document Type: Conference Paper

References (6)

1. Windows Workflow Foundation (WinFX), http://msdn.microsoft.com/worltflow/ .
2. PASOA, http://twiki.pasoa.ecs.soton.ac.uk/bin/view/PASOA/WebHome.
3. I. Foster, J. Voeckler, M. Wilde, and Y. Zhao. The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration. In CIDR, January. 2003.
4. J. Zhao, M. Goble, C.and Greenwood, C. Wroe, and R. Stevens. Annotating, linking and browsing provenance logs for e-science.
5. M. Wan, A. Rajasekar, and W. Schroeder. Overview of the SRB 3.0: the Federated MCAT. http://www.npaci.edu/ DICE/SRB/FedMcat.html, September 2003.
6. S. Cox, Z. Jiao, and J. Wason. Data management services for engineering. 2002.