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Databases Instances

Virtual Machines

Sales_1

Marketing_1

Online_Sales

ERP_10

ERP_10

Currently a variety of consolidation approaches exist and are utilized.

Typically, as isolation goes up, density goes down and operation cost

goes up.

IT Managed Environment

Schemas

Hig

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Virtual Machine consolidation

Strong isolation between applications

Ease of capturing and moving execution loads

Out of the box High Availability configuration

Flexible storage management

Fewer systems, but just as many OS images to manage

Increased resource usage

Databases

DB_1

DB_2

DB_3

Consolidate_1

Instances

Sales_1

Marketing_1

Online_Sales

ERP_10

ERP_10

Virtual Machines

Instance level consolidation

Multiple Instances running on one system

Full schema and security isolation

Partial system resource & management isolation

Potential conflicts in namespace, resources and system roles

IO, System Memory and CPU are typical density limiters

Hig

he

r Is

ola

tio

n, H

igh

er

Co

sts

High

er D

en

sity, Low

er C

osts

Databases

DB_1

DB_2

DB_3

Consolidate_1

Instances

Virtual Machines

Sales_1

Marketing_1

Online_Sales

ERP_10

ERP_10

Hig

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Database level consolidation

Multiple databases are collapsed into a single instance Common security, manageability and compatibility models required

Might require changes to existing applications and scripts

Lower manageability costs

Better resource isolation and allocation capabilities through Resource

Governor

Databases

DB_1

DB_2

DB_3

Consolidate_1

Instances

Virtual Machines

Sales_1

Marketing_1

Online_Sales

ERP_10

ERP_10

Higher Isolation

Lower Density Instances Virtual

Machines Databases

Higher Density

Lower Isolation

Sysprep SQL setup Data Tier App

Utility Control Point and Managed Instances

>64 logical processors

New in

SQL 2008

R2 ® Resource Governor

Windows Server

Resource Manager

(WSRM)

Microsoft Assessment and Planning (MAP)

failover cluster

in guest VMs

System Center VM

Manager

Hyper-V

Live Migration

••

VHD

Size

On disk

storage space

needed

Fixed Sized Virtual Hard Disk

VHD

Size

On disk

storage space

needed

Dynamically Expanding Virtual Hard Disk

0

0.001

0.002

0.003

0.004

0.005

0.006

0.007

0.008

0.009

0

1,000

2,000

3,000

4,000

5,000

6,000

7,000

Low OLTP Workload Med OLTP Workload High OLTP Workload

Tota

l R

ead

IO

’s p

er

Seco

nd

Dedicated Pass-through vs. VHDs on Shared Disks

Total IO/s per Second and Disk Latency

Total Reads/sec

(Dedicated LUNs)

Total Reads/sec

(Common Volume

with VHDs)

Average Read

Latency (Dedicated

LUNs)

Average Read

Latency (Common

Volume with VHDs)

0

500

1000

1500

2000

2500

0

5

10

15

20

25

30

35

40

45

50

55

60

1Instances 2Instances 3Instances 4Instances

Batches/sec_Native

Batches/sec_VM

Batches/sec/Inst_Native

Batches/sec/Inst_VM

% Processor_Native

% Processor_VM

Relative

Throughput_Native

Relative

Throughput_VM

Performance and Scalability Comparison between Native and Virtual Instances: 16core 64GB RAM 12GB Per SQL Instance

Results

Same throughput attainable

There is more CPU overhead with hyper-v enabled or when running within a VM

Passthrough Performance ~5% Better than fixed size VHDs

Native Instances and Virtual Instances achieves the same level of scalability

0

10

20

30

40

50

60

70

80

90

0

0.01

0.02

0.03

0.04

0.05

0.06

0.07

Inst2 Inst4 Inst6 Inst8 Inst10 Inst12 Inst 14 Inst 16

Response Time_VM Response Time_Native %Processor_VM %Processor_Native

% P

rocess

or

tim

e

Resp

on

se T

ime (

sec)

Results: • Transaction response time comparable

• 32cores 7GB RAM per VM, fixed size VHD

• sub seconds application response time

• Test your own workload, may scale differently

Shared Storage iSCSI

Guest Cluster

Guest Cluster

1 2

Redundant Paths to storage

Shared Storage iSCSI, SAS, Fibre

Live Migration

1 2

Host cluster

1 2

Optimize Resources

– Centralized virtual machine deployment and

management for Hyper-V, Virtual Server, and

VMware ESX servers

– Fast and reliable P2V and V2V conversion

– Intelligent placement of Virtual Machines

– Comprehensive application and service-level

monitoring with Operations Manager and Integrated

Performance and Resource Optimization (PRO) of

VMs

Leverage Skills

– Familiar interface, common foundation

– Monitor physical and virtual machines from one

console

– Fully scriptable using Windows PowerShell

Increase Agility

– Rapid provisioning of new virtual machines with

templates

– Centralized library of infrastructure components

– Leverage and extend existing storage infrastructure

and clusters

– Allow for delegated management and access of VMs