IEEE Transactions on Software Engineering
Chimera: AVirtual Data System for Representing, Querying, and Automating Data Derivation
SSDBM '02 Proceedings of the 14th International Conference on Scientific and Statistical Database Management
Dynamic Adaptation of Mobile Agents in Heterogenous Environments
MA '01 Proceedings of the 5th International Conference on Mobile Agents
Composing Lineage Metadata with XML for Custom Satellite-Derived Data Products
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
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
Communication Partner Identification in Distributed Job Workflow Execution over the Grid
ICDCSW '05 Proceedings of the Third International Workshop on Mobile Distributed Computing - Volume 06
A survey of data provenance in e-science
ACM SIGMOD Record
Evaluating Provenance-based Trust for Scientific Workflows
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
A Framework for Collecting Provenance in Data-Centric Scientific Workflows
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Provenance-based validation of e-science experiments
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
MCCF: a distributed grid job workflow execution framework
ISPA'04 Proceedings of the Second international conference on Parallel and Distributed Processing and Applications
A protocol for recording provenance in service-oriented grids
OPODIS'04 Proceedings of the 8th international conference on Principles of Distributed Systems
The Foundations for Provenance on the Web
Foundations and Trends in Web Science
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Job workflow systems automate the execution of scientific applications, however they may hide how the results are achieved (i.e., the provenance information of the job workflow execution). This paper describes the development and evaluation of a decentralized recording and collection scheme for job workflow provenance in mobile agent-based distributed job workflow execution. A performance study was conducted to evaluate our approach against the one using a centralized provenance server. The results are discussed in the paper.