Capacity planning and scheduling in Grid computing environments
Future Generation Computer Systems
QoS-Constrained Stochastic Workflow Scheduling in Enterprise and Scientific Grids
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Application Information Services for distributed computing environments
Future Generation Computer Systems
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Efficient execution of applications requires insight into how the system features affect the performance of the application. For distributed systems, the task of gaining this insight is complicated by the complexity of the system features. This insight generally results from significant experimental analysis and possibly the development of performance models. This paper presents the Prophesy project; an infrastructure that aids in gaining this needed insight based upon one's experience and that of others. The core component of Prophesy is a relational database that allows for the recording of performance data, system features and application details.