Capacity Planning Methodology.pptcmgcanada.altervista.org/presentations/2017 Apr... · Sealed Box Model A way of measuring CPU performance How the Box works is of no interest It measures

Capacity Planning Methodology(A Refresher)

Copyright: Pedro Escosteguy Resources Inc.CMG CANADA APRIL 2017

Objective To present a Capacity Planning

Methodology that has successfully been used in the following:

– UNIX environments: AIX, LINUX, HP UNIX, HANA, EXADATA, TERADATA

– Companies: Toyota, Eaton’s, BNS, CGI, Rogers, Loblaw

Copyright: Pedro Escosteguy Resources Inc.

Objective

Agenda

Introduction What, why and how to measure The approach The process Forecasting Summary


Introduction

Problems managers face: Thousands of machines Tools costing hundreds of dollars per license

per machine resulting in millions of dollars in cost

Need a process that is simple, fast, easy to understand, and has a Low Cost

Have a budget to manage, so don’t have lots of money to spend with expensive tools


What to Measure

Workload characterization

Total CPU consumption by measuring CPU utilization time (not percentage)


Why Measure CPU Utilization

CPU is a CPU is a CPU

If everybody waits at the same speed, everybody uses CPU at the same speed. The difference is for how long.


Sealed Box Model

A way of measuring CPU performance

How the Box works is of no interest

It measures the work flowing through the Box

[TM] Introduction to Large Processor Capacity and Performance Evaluation -IBM manual GG 66-0232, May 1986 by Mr. Kenneth L. Radecki

Sealed Box Model (cont.)

ITR (Internal Throughput Rate), ETR (External Throughput Rate), IER (Internal Execution Rate)

IBM Data Processing Techniques manual, Analysis of Some Queuing Models in Real-Time Systems [GF 20 - 0007]

Queuing Theory Equations

Response Time

waiting processing

TQ

TW TS

RtLW

LQ

TQ = Tw + Ts 1.1

Queuing Theory Equations (cont.)

Queuing Theory Equations (cont.)Server Utilization Ut = Rt x Ts 1.2

Mean Queue Size Lq = Ut 1.31 - Ut

Mean Queuing Time Tq = 1 x Ts 1.41 - Ut

Mean Waiting Time Tw = Ut x Ts 1.51 - Ut

orTw = Lq x Ts 1.6

WhereRt = transaction rateTs = time to serve the transaction

figure 4

Queuing Theory Equations (cont.)

rule-of-thumb of the rules-of-thumb

Utilization = K 1.7K + 1

figure 5

Where K is average queue size

Queuing Theory Equations (cont.)ROTs:

Single path channels should be used less than 35%;

Double path channels can go up to 50%;

Four path channels can go up to 70%;

Eight path channels can go up to 80%;

Queuing Theory Equations (cont.) Single path channels should be used less than 35%;

channel 0 1 min 0, max 1, average 1/2 ½ / (½ + 1) = 1/3 = 33%

Double path channels can go up to 50%;channel 0 1 min 0, max 2, average 1channel 0 1 1/(1+1) = ½ = 50%

Four path channels can go up to 70%;channel 0 1 min 0, max 4, average 2channel 0 1 min 2/(2+1) = 2/3 = 67%channel 0 1channel 0 1

Eight path channels can go up to 80%; 4/5 = 80%

Disk

disk

disk

CPU 1

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

CPU 2

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

CPU 3

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

CPU 4

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

CPU 5

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

CPU 6

00.10.20.30.40.50.60.70.80.9

1

0 2 4 6 8 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 50 52 54 56 58

Which chart usedTheMost

CPU?

CPU 6

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

1

0 1 2 3 4 5 6 7 8 9 1011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859

How to Measure

vmstat

iostat

sar

ps (*)


Additionally in AIX

SAR in LINUX does measure memory utilization. In AIX it does not

Topasrec and nmon do measure memory used and free


The Approach

Measure resource (CPU) Tabulate the data Apply growth rate Produce chart Present to the manager


The Process Crontab to schedule data collection

Scripts to reduce the data

Normalize the data

Produce forecast

Incorporate seasonality Copyright: Pedro Escosteguy Resources Inc.

DEMO

daily profile (1)Server A


daily profile (2)Server A


monthly utilization

Server A


Forecasting

Data regression

Businesses growth


Forecasting (cont.)

X variable 1 line Fit Plot

0

5

10

15

20

25

30

Jan-

94

Feb-

94

Mar

-94

Apr-9

4

May

-94

Jun-

94

Jul-9

4

Aug-

94

Sep-

94

Oct

-94

Nov

-94

Dec

-94

Jan-

95

Feb-

95

X variable 1

Y

Predicted Y Y


data regressionServer A

y = b + m * x Copyright: Pedro Escosteguy Resources Inc.

seasonalityServer A


Capacity Planning

Methodology(A Refresher)

Copyright: Pedro Escosteguy Resources Inc. (416) 258-5341

CMG CANADA APRIL 2017

SUMMARY

Documents

Capacity Planning Methodology.pptcmgcanada.altervista.org/presentations/2017 Apr... · Sealed Box Model A way of measuring CPU performance How the Box works is of no interest It measures