Grid Application Development and Computing Environment

Performance Analysis, Data Sharing, Tools Integration: An Ontology-based Approach

While ontology has widely been applied successfully to represent data in many fields such as AI, Semantic Web, Health, Biology, e.g. see, to date such an ontology for performance data in the field performance analysis has yet been developed. Our initial effort is that we try to propose an ontology for representing performance data in the Grid with the hope that the proposed ontology will not only serve for data sharing and reuse between performance analysis tools but also increase the automation of performance analysis process.

In this direction, we are going to develop ontologies based OWL for describing performance metrics and performance data of (Grid) applications. If you think this work is interesting and have free time, joining with us!

Some ontologies

Further information about our research on performance monitoring and analysis themes.



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Workflow Execution (Meta) Scheduling Performance Prediction Performance Analysis

Resource Broker Resource Monitoring

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