By Shui F. Lam
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1416, and the a's are the coeffi cients determined by the least squares method. The sine and cosine functions in the model are intended to capture the cyclical behaviors in the data, the second term t is intended to model a linear trend and a-^ is the mean of the time series. Autoregressive regression models are appropriate when a stable relationship exists between adjacent observations in the time series. This type of model is applicable to the forecasting of computer resource demand due to the existing applications.
4 Performance Indexes From a data center's point of view, the computer system is in stalled to service the users in the organization. Therefore performance in this context should logically take the view of the users who are only interested performance in the processing of their programs. indexes are commonly accepted: turnaround time and availability. performance Several user-viewed measures time, response Data center management may also be interested in such as throughput and capacity when among computer hardware of different models.
In summary, features: the B-J method provides the following desirable 44 The Tasks in Computer Capacity Planning (1) It is versatile. It may be used to forecast accurately time series data with divergent behavior. In this respect, it is considered the most powerful forecating method available today. (2) It provides a systematic procedure which allows the forecaster to make incremental improvements in building his forecasting model and to arrive at a model that minimizes forecast errors. The method further supplies information on the accuracy of future forecasts and provides signals if the existing model is becoming obsolete.
Computer Capacity Planning. Theory and Practice by Shui F. Lam