Distributed and Parallel Databases
A survey of data provenance in e-science
ACM SIGMOD Record
Java Data Objects
Java Persistence with Hibernate
Java Persistence with Hibernate
WS-VLAM: towards a scalable workflow system on the grid
Proceedings of the 2nd workshop on Workflows in support of large-scale science
The provenance of electronic data
Communications of the ACM - The psychology of security: why do good users make bad decisions?
The Open Provenance Model core specification (v1.1)
Future Generation Computer Systems
Globus toolkit version 4: software for service-oriented systems
NPC'05 Proceedings of the 2005 IFIP international conference on Network and Parallel Computing
Workflow as a service: an approach to workflow farming
Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences
| Hi-index | 0.00 |
Large scale scientific applications are frequently modeled as a workflow that is executed under the control of a workflow management system. One crucial requirement is the validation of the generated results, e.g. The trace ability of the experiment execution path. The automated tracking and storage of provenance information during workflow execution could satisfy this requirement.. To collect provenance data using the grid-enabled scientific workflow management system WS-VLAM, experimentations were made with two different implementations of the provenance concepts. The first one, adopts the Open Provenance Model (OPM) using the Provenance Layer Infrastructure for e-Science Resources (PLIER). The second one is the history-tracing XML (HisT). This paper describes how these two provenance models are integrated into WS-VLAM.