TY - GEN
T1 - Provenance support for grid-enabled scientific workflows
AU - Khan, Fakhri Alam
AU - Han, Yuzhang
AU - Pllana, Sabri
AU - Brezany, Peter
PY - 2008
Y1 - 2008
N2 - The Grid is evolving and new concepts like Semantic Grid, Knwoledge Grid are rapidly emerging, where humans and distributed machines share, exchange, and manage data and resources intelligently. Computational scientists typically use workflows to describe and manage scientific discovery processes. However, the credibility of the obtained results in the scientific community is questionable if the computational experiment is not reproducible. This issue is being addressed in our research reported in this paper via development of workflow provenance system for Grid-enabled scientific workflows. Workflow provenance collects data on workflow activities, data flow and workflow clients. Provenance information can be used to trace and test workflows and the data produced. Our approach supports reproducibility (i.e. to support re-enactment of workflow by an independent user) and dataflow visualization (i.e. visualization of statistical characteristics of input/output data). We illustrate our approach on the Non-Invasive Glucose Measurement (NIGM) application.
AB - The Grid is evolving and new concepts like Semantic Grid, Knwoledge Grid are rapidly emerging, where humans and distributed machines share, exchange, and manage data and resources intelligently. Computational scientists typically use workflows to describe and manage scientific discovery processes. However, the credibility of the obtained results in the scientific community is questionable if the computational experiment is not reproducible. This issue is being addressed in our research reported in this paper via development of workflow provenance system for Grid-enabled scientific workflows. Workflow provenance collects data on workflow activities, data flow and workflow clients. Provenance information can be used to trace and test workflows and the data produced. Our approach supports reproducibility (i.e. to support re-enactment of workflow by an independent user) and dataflow visualization (i.e. visualization of statistical characteristics of input/output data). We illustrate our approach on the Non-Invasive Glucose Measurement (NIGM) application.
UR - http://www.scopus.com/inward/record.url?scp=60749132866&partnerID=8YFLogxK
U2 - 10.1109/SKG.2008.86
DO - 10.1109/SKG.2008.86
M3 - Conference contribution
AN - SCOPUS:60749132866
SN - 9780769534015
T3 - Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
SP - 173
EP - 180
BT - Proceedings of the 4th International Conference on Semantics, Knowledge, and Grid, SKG 2008
ER -