Oracle Performance Firefighting
by Craig Shallahamer

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The text below is an except from the book, Oracle Performance Firefighting, written by Craig Shallahamer of OraPub, Inc. Figures and tables are not included on this page, only their reference.
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©2009, 2010 by Craig Shallahamer. This is copyrighted material.
Please—Out of respect for those involved in the creation of the book and also for their familes, we ask you to respect the copyright both in intent and deed. Thank you.

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When does queuing become a problem? The answer begins with, "Well, it depends." And what it depends on, in large part, is the number of CPU cores. A general answer is queuing becomes significant when CPU cores are busier more than 75% of the time. This is truly a general statement and does not imply that you want your CPUs running below 75%.

Figures 4-3 and 4-4 are based on the same 12 CPU core model. It's easy to think that when queuing represents 10% of the response time, this is a very serious situation. However, based on queuing theory, which CPU subsystems follow very closely, at around 75% busy, queue time accounts for around 10% of the response time. Now, 10% may seem very significant, but if you look at the situation graphically in Figure 4-4, 75% busy doesn't look so bad. This demonstrates why it can be a good idea to show data both numerically and graphically.

Figure 4-3. Numerically, on a 12-CPU core system, queuing accounts for 10% of response time at around 75% busy. However, once queuing sets in, it quickly becomes significant. When busyness exceeds 100%, queue time becomes infinite (grows and grows) and therefore so does response time. Excel shows this as #N/A.

©2009, 2010 by Craig Shallahamer. This is copyrighted material.
Please—Out of respect for those involved in the creation of the book and also for their familes, we ask you to respect the copyright both in intent and deed. Thank you.


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