March 2004
Intermediate to advanced
560 pages
14h 38m
English
Content preview from HP-UX 11i Tuning and Performance
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3.3. Interpretation and Analysis
After making the measurements, it is necessary to review the voluminous amount of data that were collected. Some of the performance tools present the data as tables of numbers. Other tools offer summarization of the data in graphical form. Regardless of the presentation method, interpretation of the data is complex. One must first understand what the metrics mean. Then, it is necessary to know how to interpret the numbers; in other words, what number indicates a performance problem. This is no easy task! Rule #1 comes into play here. A good value or a bad value for a given performance metric depends upon many factors.
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From Bob's Consulting Log— I was involved in a sizing exercise where we had to determine what ... |
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