HP 3000 Manuals HP 3000 Manuals
GLOSSARY This glossary contains some of the common terms associated with HP RXForecast. Application CPU Utilization This metric is defined as the percentage of elapsed time that the CPU is busy executing instructions on behalf of the application. Application I/Os This metric refers to physical application I/Os for the application you specified. It is defined as the number of transfers per second made to or from the disc drives on behalf the application. It does not include transfers used in managing memory. Application First Response This metric is defined as the time between pressing Enter and the writing of the first line to the terminal screen. Application Response to Prompt This metric is defined as the time between pressing Enter and the next prompt to the user. Application Transactions This metric is defined as the number of terminal transactions per hour. Each unit on the graph represents 1000 transactions. Confidence Interval The confidence interval defines a range in which the average of the predicted values (the trend line) will fall the given percentage of the time. Disc I/O Rate This metric refers to the physical disc I/O rate, which is defined as the number of transfers per second made to or from the disc drives on behalf of user programs. It does not include transfers used in managing memory. This is an indication of overall disc activity. Disc Utilization This metric is the percent of time when transfers to or from the disc are in progress. First Response This metric is the time between pressing Enter and the writing of the first line to the terminal screen. Global CPU Utilization This metric represents the percentage of elapsed time the CPU is busy executing instructions. Job CPU Utilization This metric is the percentage of elapsed CPU time spent executing instructions for batch processes (jobs). Mean Squared Error The Mean Squared Error (MSE) and the square root of the MSE, the Standard Error, determine the amount of variability between the forecast and the actual data. They measure the variability in the forecasting technique. A value close to 0 is optimal. The MSE is valuable for comparing two trending methods. All else being the same, you should choose the forecast with the smallest MSE. The MSE does not appear on Exponential and S-Curve forecasts. Memory Manager I/Os This metric is defined as the number of transfers per second made to or from the disc drives on behalf of the memory manager. This is an indication of swapping or memory management overhead. MSE See Mean Squared Error. Prediction Interval The prediction interval defines a range in which the predicted values (all points) will fall the given percentage of the time. R-Squared R-Squared is the coefficient of determination. All values will be between 0 and 1. A value close to 1 indicates a very good fit. A value close to 0 means a very poor fit. Response to Prompt This metric is the time between pressing Enter and the next prompt to the user. Session CPU Utilization This metric is the percentage of elapsed CPU time spent executing instructions for interactive processes (sessions). Standard Error The Standard Error is interpreted as the average amount of deviation between what the model states and the actual data value for a given date. You can expect forecasts to deviate from actual data values by an amount equal to the Standard Error. The Mean Squared Error (MSE) and the square root of the MSE, the Standard Error, determine the amount of variability between the forecast and the actual data. They measure the variability in the forecasting technique. A value close to 0 is optimal. The Standard Error does not appear on Exponential and S-Curve forecasts. T-Probability The T-Probability is the probability that if the parameter in question is really zero, you would see a T-Statistic no larger than that actually observed. A value close to 100 indicates statistical significance. T-Statistic The T-Statistic indicates the significance of each trend line parameter in the model. A value greater than 3 or 4 is significant. Transaction Rate This metric is the number of terminal transactions per hour. Each unit on the graph represents 1000 transactions. A terminal transaction is the activity that occurs between reads issued to a terminal. Interactive and job processes (but not system processes) read and write to a terminal and can generate terminal transactions.