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Most large-scale heterogeneous distributed computing systems, such as grids, rely on service oriented architectures (SOA) to interact with others in different platforms and computing languages. However, we still need to solve the semantic heterogeneity problem of data; we must interpret the data from different systems in some semantically related ways. Ontologies are the most common and well-accepted...
This paper proposed a new Grid scheduling architecture that exploits the Tuple Spaces paradigm. This model adopts the Tuple Space concept to provide job scheduling features in Grid environments. This model abstracts all unnecessary details from users and provides a transparent environment to the diverse user groups. A simulation demonstrates the operations of the proposed architecture in a simulated...
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