White paper – QLogic 10000 Series Accelerating Microsoft Exchange Servers with I_O Caching User Manual

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SSG-WP13001D

SN0430934-00 rev. D 05/13

3

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Figure 1 shows the basic setup for the exchange test.

Figure 1. Exchange Test Setup

test hardware and Software

table 1 lists the hardware and table 2 lists the software used for exchange
Server testing.

Table 1. Hardware Used for Exchange Jetstress Testing

Hardware

Description

host Server

Dual 6-core intel Xeon CPU

e5-2640 at 2.50Ghz, 24 logical

processors, 32GB raM

host Bus adapter

QLogic FabricCache 10000 Series

8Gb Fibre Channel adapter

Quantity of host Bus adapters

per host

1

Fabric Switch

QLogic

5800V/5802V 8Gbps Fibre

Channel Switch

Storage array

hP eVa 6300

Drive Speed

10K

Quantity of Drives on array

24

LUN Size

100GB × 7

raiD type

raiD 5

Table 2. Software Used for Exchange Jetstress Testing

Software

Description

Operating System

Windows Server 2008 r2

exchange Performance

Validation tool

exchange Jetstress 2010

64-bit version 14.01.0225.017

exchange 2010 System

Simulation eSe.dll File

14.01.0218.012 (Microsoft

exchange Server 2010 SP1)

Quantity of Mailboxes

1,000

Mailbox Size

200MB

Database Size

200GB

Exchange Performance Results Using Jetstress

the tests demonstrate that, at various levels of LUN caching in the 10000
Series adapter, caching delivers as much as a 400 percent increase in
the number of iOPS and an 80 percent reduction in i/O latency. these
performance improvements are directly related to caching data closer to
the exchange Server processor, which eliminates Fibre Channel transit time
over the SaN. table 3 shows these results.

Table 3. Jetstress Data for Increasing Cache Sizes in the 10000 Series Adapter

Criteria

Cache Size

No

Cache

25%

30%

50%

75%

100%

exchange i/O

read Latency

(ms)

4.724

2.648

2.484

2.021

1.558

0.922

exchange

transactions

(iOPS)

1056

1819

2017

2277

3154

5270

Latency

reduction

0%

(44%)

(47%)

(57%)

(67%)

(80%)

iOPS increase

0%

72%

91%

116%

199%

399%

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