Description

Our work uses a wide-range of AI technology to improve current Grid middleware, such as planning techniques to generate job workflows for execution in a Grid environment, ontology-based matchmaking for computing resources, reasoning about meta-data to automate the composition of distributed problem-solving components based on the user's desired end products, and dynamic planning and scheduling techniques for robust execution of job workflows.

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