The RMF CPU report should show this information (for each CEC) both at the aggregate level and broken out by LPAR.
You might also look at the RMF Spreadsheet Reporter. More info here : http://www-03.ibm.com/systems/z/os/zos/features/rmf/ and http://publibz.boulder.ibm.com/epubs/pdf/erb2ug01.pdf One way to "aggregate" multiple CECs is to total all processors and "normalize" to 100% for the "manglers" HTH, <snip> It is part of my duties to show to management z/OS performance daily and monthly based on SMF RMF records. CPU% utilization averages, memory usage, MSU, I/O rates, transaction rates, etc. are usually easy to present and explain. You get Averages, 90th percentile, absolute maximum/minimum, etc. as measurement criterias. My problem is: I wish to show that our machines are heavily loaded or maximum loaded. My problem is that the different LPARs have their absolute maximum CPU% utilization at different hourly and 30 minute intervals. So LPAR 1 has 100% CPU utilization at 09:00, but LPAR 2 has 95% CPU utilization at say 13:00. If I combine these values for the day, they're sometimes over 100% which is undesirable or difficult to explain. Sometimes I see those max CPU% drifts very far far away from the usual average CPU% utilization on one or more LPARs at a given interval, but not always at the same time. Question: how do you performance guys and gals present those maximums? Or how do you prove that machines are heavily used? Do you use averages of those maximum CPU% utilization or what do you use? Do you combine all the LPARs and then work out the max? Any trending or statistical analysis methods to consider? I'm using RMF and a commercial product (no SAS) to process those SMF RMF records daily and monthly. z/OS v1.13. </snip> ---------------------------------------------------------------------- For IBM-MAIN subscribe / signoff / archive access instructions, send email to [email protected] with the message: INFO IBM-MAIN
