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Summary
PASOA aims to investigate the concept of provenance and its
use for reasoning about the quality and accuracy of data
and services in the context of eScience. The problems of
determining the origin of a result or deciding when results
of analysis are no longer valid become important concerns
in open Grid environment, where providers are dynamically
organised in virtual organanisations to offer services to
the community. In this context, provenance data is an annotation
able to explain how a particular result has been derived.
.
Objectives of the PASOA project
- To define execution and service provenance in relation to workflow
enactment.
- To conceive algorithms to reason over provenance
data, in order to help scientists to achieve better
utilisation of Grid resources
for their specific tasks.
- To design a distributed cooperation protocol to generate
provenance data in workflow enactment.
- To investigate value-added properties that can be
deduced from provenance-based data
.
- To engineer a proof of concept software architecture to support
provenance generation and reasoning in Grid environments.
Pasoa is funded by EPSRC under
the Fundamental Computer
Science for e-Science call.
