Incorporating Provenance in Service Oriented Architecture

There is underlying need to support data provenance in a service-based computing environment such as grid where Web services may be automatically discovered, composed, and then consumed using innovative workflow management systems. In any scientific experiments, flow of data transformations occur producing data of added scientific value. Provenance is the documentation about such data generated by a process, providing explanations about who, how, what resources were used in the process along with the processing steps that occurred to produce that data. Such provenance information needs to be archived for the creator and the potential users to verify the data by possibly recreating and/or re-executing the process. It also improves a scientist's ability to judge and have some reliability on the generated data so it can be used. In this paper, we present a provenance model that facilitates in capturing and recording of process provenance. We discuss the interactions between the components within our model focusing on provenance recording. A query component is also presented and discussed. This paper presents performance evaluations of our recording component with an example workflow scenario and show that the component is scalable