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Characterizing the Workload

Abstract

Regardless of how amazing a forecast model may be, without quality workload data and an appropriate characterization of the workload, it’s totally worthless. That’s a pretty strong statement, but it’s the truth. Both projects and products fail when the workload is not properly characterized. When raw workload data is transformed into useful information, a model’s precision capabilities flourish and the usability of the forecasting system is amazing. A solid and appropriate characterization of the workload is probably the most critical aspect of forecasting.

Keywords

Service Time Arrival Rate Forecast Model Workload Model Average Service Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Craig Shallahamer 2007

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