By Tim Browning
Intends to use the recommendations of means making plans to desktops with a mix of size, modelling and analytical equipment for exact projection of computing device workload and source characterization
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0 Below Obj. < 10:00 AM. 0 Below Obj. M. 6 Objective Best Perf. M. 0 Priority 1 < 12:00 AM. < 10:00 AM. < 9:00 AM. 8 Priority 2 Below Obj. Objective Best Perf. M. M. M. 9 Priority 3 Below Obj. Objective Best Perf. Priority 4 Below Obj. Objective Best Perf. M. M. M. 0 57 Chapter 3 · Business Elements and Service Levels D. FINANCIAL CLOSE TIMELINESS 1. Trial Balances Objective: First, Second, and Third Financial Trial Balances, Final Regional Financials, and Final Sector Financials must be completed by the dates in the Closing Schedule.
Let us consider the case of response time service. 5 seconds? One approach is to correlate the response time with the number of complaints about service, searching for that point where there are essentially no complaints. The next question is can the "no-complaint" level be met most of the time? A statistical analysis of the distribution of service time by hour over a month or more could provide a percentile distribution of response times. It would be realistic to promise what at least 90 percent of the distribution exhibits, especially if this is a value less than the point where the customers complain in significant numbers.
For the latter case, separate forecast units for each type may be defined. • Block Time—This is an unusual unit for capacity planning except as applied to the capacity to schedule a workload. The forecast unit for block time is the elapsed time that the system is to be used by the workload. A historical base of measurements is the source for forecasting workloads in this category. • Non-machine Work Functions—This is a strictly operational category, which identifies work functions that do not involve the computer sys- 30 Capacity Planning for Computer Systems tern itself.