zpcr in practice Fabio Massimo Ottaviani EPV

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1 zpcr in practice Fabio Massimo Ottaviani EPV

2 CMG-Italia Associazione senza fini di lucro, attiva dal 1986 (XXI Convegno Annuale a Milano l 8 maggio) focalizzata su: scambio e diffusione di esperienze ed informazioni tecniche e organizzative valutazione delle prestazioni di sistemi esistenti (tempi di risposta, produttività, tuning,...) gestione e pianificazione della capacità elaborativa (capacity planning & management) controllo e attribuzione dei costi elaborativi (cost accounting) valutazione di soluzioni tecnologiche innovative 2 EPV Technologies

3 EPV Technologies EPV Technologies dal 2002 sviluppa e distribuisce la suite dei prodotti EPV per il Capacity Management Obiettivo dei prodotti è il controllo e l ottimizzazione dell utilizzo delle tecnologie hardware e software al fine di consentire la riduzione dei costi senza penalizzare i livelli di servizio erogati EPV for z/os, EPV for zlinux, EPV for UNIX e EPV for WINDOWS, EPV for DB2, EPV for VMWARE* 21 clienti in Italia, 1 in Germania, 2 in Israele 3 EPV Technologies

consentire la riduzione dei costi senza penalizzare i livelli di servizio erogati EPV for z/os, EPV for zlinux, EPV for

4 Agenda zpcr Overview How to get zpcr input data zpcr in practice 4 EPV Technologies

5 zpcr Overview Processor Capacity Reference for IBM System z9 and eserver zseries zpcr is a Java based tool running on PC zpcr provides the capacity relationships for System z9 and zseries processors taking into account hardware characteristics LPARs configuration O.S. level workload characteristics 5 EPV Technologies

relationships for System z9 and zseries processors taking into account hardware

6 zpcr Overview All capacity results from zpcr are relative to a user defined reference-cpu Capacity is expressed in ITRR but you can also apply a capacity scaling factor (i.e. MIPS) When comparing the capacity of various processors, it is critical all analyses be done using the same reference-cpu setting 6 EPV Technologies

7 zpcr Overview level support 7 EPV Technologies

8 zpcr Overview Menu Name of the study LSPR tables Config CP LSPR docs 8 EPV Technologies

9 zpcr Overview define machine define LPARS results docs 9 EPV Technologies

10 How to get zpcr input data Step1 Machine characteristics SMF/RMF type SMF/RMF model HW model based on n. of books IBM EPV Technologies

11 How to get zpcr input data Step1 Machine characteristics 11 EPV Technologies

12 How to get zpcr input data Step1 Machine characteristics 12 EPV Technologies

13 How to get zpcr input data Step2 LPAR configuration set in step 1 click to start defining LPARs 13 EPV Technologies

14 How to get zpcr input data Step2 LPAR configuration 14 EPV Technologies

15 How to get zpcr input data Step 3 Workload type 15 EPV Technologies

16 How to get zpcr input data Step 3 Workload type 16 EPV Technologies

17 How to get zpcr input data Step 3 Workload type - LoIO shift LoIO systems non LoIO system 17 EPV Technologies

18 How to get zpcr input data Step 3 Workload type non LoIO 18 EPV Technologies

19 zpcr in practice 1. Define the horizon of the CP study 2. Estimate current machines capacity 3. Characterize the workload 4. Evaluate the baseline 5. Estimate natural and planned growth 6. Workload growth forecasting 7. Estimate proposed machines capacity 8. Estimate the additional capacity needed in Disaster Recovery scenarios 9. Estimate memory, disk I/O and space resources 10. Verifications zpcr zpcr zpcr 19 EPV Technologies

Workload growth forecasting 7. Estimate proposed machines capacity 8.

20 Estimate current machine capacity Background: Current machine is a IBM (B16). AVG MIPS value from used CPU chart is Customer wants to assess capacity using zpcr. Goal: assess machine capacity using zpcr Input data 3 LPARS (SYSD, SYSC, SYSE) using 8, 6, 3 shared logical processors Weights are 550, 350, 100 SYSC and SYSE run z/os 1.7 and are LoIO Verify SYSD z/os level in RMF reports Verify SYSD workload characteristics in RMF reports 20 EPV Technologies

Goal: assess machine capacity using zpcr Input data 3 LPARS (SYSD, SYSC, SYSE) using 8, 6, 3 shared logical

21 Estimate current machine capacity 21 EPV Technologies

22 Estimate current machine capacity 22 EPV Technologies

23 Estimate current machine capacity LoIO index = SSCHRT / MSU ACT *.90 SYSD LoIO index = 4324 / 241 *,90 = 16,1 SYSD workload is LoIO 23 EPV Technologies

24 Estimate current machine capacity 24 EPV Technologies

25 Estimate current machine capacity 25 EPV Technologies

26 Estimate current machine capacity 26 EPV Technologies

27 Estimate proposed machines capacity Background: Current machine is a IBM loaded at 95% in peak hours. Customer wants to install 2 zaaps and eliminate 2 CP. Java workload moving from CP to zaap has been estimated in about 600 MIPS and it is spread on the 2 major LPARs 60% and 40%. Goal: change LPAR configuration and assess CP and zaap capacity using zpcr Input data: same as previous example 27 EPV Technologies

28 Estimate proposed machine capacity 28 EPV Technologies

29 Estimate capacity needed in DR Background: Current machines are a IBM and a IBM Customer wants to install a new z9 machine in a DR site to maintain the same power also in disaster recovery situations. Goal: size the DR machine using zpcr 29 EPV Technologies

30 Estimate capacity needed in DR Input data: IBM LPARS using 10, 2, 1, 1 shared logical processors Weights are 800, 190, 5, 5 z/os level is 1.7 for all LPARs Workload is LoIO for all LPARs Input data: IBM LPARS using 13, 5, 1 shared logical processors Weights are 700, 290, 10 z/os level is 1.7 for all LPARs Workload is LoIO for all LPARs 30 EPV Technologies

31 Estimate capacity needed in DR 31 EPV Technologies

32 Estimate capacity needed in DR 32 EPV Technologies

33 Estimate capacity needed in DR 33 EPV Technologies

34 Estimate capacity needed in DR 34 EPV Technologies

35 Questions? 35 EPV Technologies

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