페이지 이력

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Good provenance is fundamental to optimisation---in order to be able to anticipate how data will be used by the community, and what infrastructure elements should be able conscripted to provide access to and processing capability over those data, it is necessary to understand as much about the data as possible. Thus provenance data is a key element of knowledge-augmented infrastructure, and provenance recording services are a major source of the knowledge that needs to be disseminated throughout the infrastructure in order to realise this ideal. Provenance is required to answer who, what, where, when, why and how regarding the orgins origins of data, and the role of an optimised RI is to infer the answers for each of those things as they regard the present and future use of those data. Ensuring that these questions can be asked and answered becomes more challenging the greater the heterogeneity of the data being handled by the RI, and so potential for runtime optimisation in particular will depend on the solutions for optimisation provided by the provenance task (T8.3) in ENVRI+.

As far as optimisation serving provenance in and of itself is concerned, the management of provenance data streams during data processing is the most likely area of focus. Preserving the link between data and their provenance metadata is also important, particularly in cases where those metadata are _not_ packaged with their corresponding datasets.

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In general, the principal concerns of curation are ensuring the accessibility and availabilty availability of research assets (especially, but not exclusively, data). High availability in particular requires effective replication procedures across multiple sites. It would be expedient to minimise the cost of synchronising replicas and to anticipate where user demand (for retrieval) is likely to be so as to minimise network congestion.

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