Resource reservation and performance prediction of execution run-times are key components in delivering timely application services for decision support systems. The provision of Service Level Agreements (SLA) and components to manage tasks such as resource negotiation, monitoring and policing are needed to help meet this requirement. This paper presents an SLA management architecture for use in Grid environments focusing on resource negotiation, monitoring and policing strategies for Grid application services. Included are methods for resource negotiation and generating execution run-time predictions for tracking application progress. Experiments to test the prediction model are presented and compared with a reference execution schedule.
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