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Resource selection and task placement for distributed execution poses conceptual and implementation difficulties. Although resource selection and task placement are at the core of many tools and workflow systems, the methods are ad hoc rather than being based on models. Consequently, partial and non-interoperable implementations proliferate. We address both the conceptual and implementation difficulties...
Scientific experiments in a variety of domains are producing increasing amounts of data that need to be processed efficiently. Distributed Computing Infrastructures are increasingly important in fulfilling these large-scale computational requirements.
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