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Additional resources for Lectures on the Measurement and Evaluation of the Performance of Computing Systems
Sample text
The fact that a unit is idle, or that a channel is underutilized, or that a particular system resource is a system bottleneck, would usually become apparent in any well-planned system evaluation study. Some of this same type of information can be obtained much more directly by observing that certain indicator lamps are rbrely lit while others are almost continuously on. Intelligent and informed observation of a system can sometimes be the most important part of the performance evaluation process.
On that day the average job used only about 20% of the time indicated on the time limit field of its job card. This type of data casts some doubt on the usefulness of this parameter in estimating the job's central processor time requirements. 5 also shows that more than 50% of all central processor time is used by jobs whose estimate is more than 50% of the time they actually used. 5 No. V . 2. Additional data. There is always some conflict between the performance analyst's desire for as much information as possible, and the need to minimize the impact on the production system by limiting the time and space requirements of the data-gathering tools.
0 4551 15191519640 349 309 485 09. 12. 0 ,53. OS. 3 12014. 9 10?. 7 18. 3 PERCENT IN EACH CLASS In. 7 8598. V. V. » CORR . COEF. 61 5?. 4 5?. 9 CPU T1MF 70 MEAN x 701 MEAN « 20. 6 32. 0 ACCOUNTING SYSTEMS 39 from analogous data on other systems. Programs have been developed at many computer installations that collect and display and analyze this type of data. An example is the "dayfile analyzer" program that was developed at Purdue University by William C. D'Avanzo for use as a research tool in performance measurement and as a source of information for Computing Center management.
