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Recent advances in Internet and Grid technologies have greatly enhanced processes in scientific experiments; not only computing and data intensive tasks become feasible, but also large scale collaborations between resources and users are now possible. Scientific workflows encode intelligence of successful experiments and become important resources. Sharing these resources and allowing scientists to...
In e-Science, meaningful experiment processes and workflow engines emerge as important scientific resources. A complex experiment often involves services and processes developed in different scientific domains. Aggregating different workflows into one meta workflow avoids unnecessary rewriting of experiment processes and thus improves the reuse efficiency. Remote workflow engines explore the computing...
In e-science environments, scientific workflow management systems (SWMS) hide the integration details among grid resources and allow scientists to prototype an experimental computing system at a high level of abstraction. However, the development of an effective SWMS requires profound knowledge on both application domains and the network programming, and is often time consuming. Agent technologies...
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