A Provenance-Aware Weighted Fault Tolerance Scheme for Service-Based Applications
ISORC '05 Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing
Job Provenance --- Insight into Very Large Provenance Datasets
Provenance and Annotation of Data and Processes
On business grid demands and approaches
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Scheduling and planning job execution of loosely coupled applications
The Journal of Supercomputing
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The Job Provenance (JP) service is designed to automate keeping track of computations on large scale Grids, giving thus users a tool to correctly archive information about their jobs and to re-submit any job in a reconstructed environment. JP provides a permanent minimal record of job (and its environment) related information, to which free-form user annotations can be added. JP also offers the capability of configuring any number of indexed logical views on the large collections of raw data, allowing efficient processing of even complex user queries selecting on both system data and the annotations. The scalable architecture, capable to handle millions of jobs in a single JP installation, and integrated into the EGEE gLite middleware environment is presented.