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24.5 Virtualisation of Policies, Resources and Processes
Virtualisation is a commonly used technique in systems to insulate services from
underlying implementations. The science data infrastructure described here is
implemented by services including management, trust, workflow, data storage and
other resources. In order to insulate the science data infrastructure components from
changes it is necessary to try to virtualise access and use of all these. Virtualization
would for example facilitate the migration between preservation environments, i.e.
enabling policy enforcement across systems.
SCENARIO
Due to its size, a large scientific dataset has to be stored across multiple
distributed locations. These storage locations are maintained by different organ-
isations using diverse hardware/software infrastructures. Researchers who wish
to access the dataset are provided with a uniform interface, hence they do not
need to be aware of the actual physical location of the data. Data managers
are provided with a standardized set of actions, which are then mapped to
concrete operations and executed by the respective underlying infrastructures.
Computing-intensive operations such as format migrations might be scheduled
and submitted to external (grid-based) services.
24.5.1 Next Steps
Specify standards promoting the interoperability between services, grid opera-
tions and existing archive systems.
Scalable storage abstractions capable of handling increased data volume without
impacting the running of the archive
Support for data replication to geographically disparate storage resources.
Provision of logical namespaces for resources, data and users.
Define data virtualisations for common data objects
24.5.2 Final Destination
Infrastructure independence, collections can be moved across preservation sys-
tems without any loss of information.
Management virtualization, seamless federation of preservation environments
while maintaining control over policies, processes and resources.
 
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