Enterprise Data Centre

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May 2009

Enterprise Data Centre

The Challenges and Changes for the Data Centre

Manager

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Introduction

Increase awareness of IT energy usage

Understand processes and practices available for identifying energy

usage

Data Centre issues

IBM and Green Energy initiatives

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The Energy Problem

Energy provision has emerged as arguably the most

important business, geo-political and societal issue of our

time.

The organization that responds (with not only technology

innovation but also perhaps legislation to support the uptake

and application of technology) will create and take

advantage of this business opportunity.

IBM is well positioned to provide the services and

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Power and cooling exceeds server

Spending – IDC

“Power and cooling will be a top 3

issue with all CIO’s in the next

6-12 months”

Michael Bell – Gartner Group

“Power and cooling costs will

increase to more than one-third

of the total IT budget”

Robert Frances Group,

January 2007

What is the greatest facility problem

with your primary data centre?

Gartner 2006 0% 5% 10% 15% 20% 25% 30% 35% None of the above

Poor location Excessive facility cost Insufficient raised floor Insufficient power Excessive heat $0 $10 $20 $30 $40 $50 $60 $70 $80 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 (M units) 2 4 6 8 10 12 14 16 18 Spending

New server spending

Installed base

(US$B)

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Where does the energy go? The data centre energy challenge affects

both the physical data center and the IT infrastructure

Power Use 35 30 25 20 15 10 5 0 Chiller/ Cooling Tower Information

Technology UninterruptiblePower Switch/ Gen Lighting Supply Power Distribution Unit Computer Room Air Conditioner Humidifier

Cooling systems Electrical and building systems

%

of total data cent

re ele

c

tricit

y

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Comparison of typical server utilisation rates

UNIX

x86

Mainframe

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Facing new pressures: Data Centres are at a tipping point

“According to Gartner, by 2008, 50 percent of current data centers will have insufficient power and cooling capacity to meet the demands of high density equipment." 1

1. Gartner, Data Centre Power and Cooling Challenge, Gartner 25th _{annual data center conference presentation, Michael A. Bell, December 2006.}

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Facing new pressures: Data centers are at a tipping point

Increased Computing

Demand

Changing Cost

Dynamics

Data Center

Lifecycle Mismatch

 US commercial electrical costs increased by 10

percent from 2005-06. - EPA Monthly Forecast, 2007

 Datacenters have doubled their energy use in the

past five years.- Koomey, February 2007

 Per square foot, annual data center energy costs

are 10 to 30 times more than those of a typical office building. - William Tschudi, March 2006

 New low cost technologies like blades consume

20-30kW of power per rack, while the average data center is designed to support 2-3kW per rack

 “Eighty-six percent of data centers were built

before 2001”2

 In the past decade, growth in server shipments has

been 6x and 69x for storage - Bill Zeitler, IBM STG GM

1. Gartner, Data Center Power and Cooling Scenario Through 2015, Rakesh Kumar, March 2007.

According to Gartner, “The underlying consumption of energy in large data centers to power and cool hardware infrastructure is likely to increase steadily during the next ten years.”1

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The Vision

an evolutionary new model for efficient IT service

delivery

Rigid and Complex

Sprawl / distributed

Inefficient power and

cooling

Siloed

9 Efficient, shared and highly virtualized

infrastructure

9 Automated service provisioning

9 Elasticity of scale

9 Responsive and business aligned

Fragmented, inefficient

islands of computing

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Project Big Green

Project Big Green is IBM’s integrated response to carbon concerns. A comprehensive

initiative across all pillars of operations, offerings and policy. Reallocating $1 billion each

year – Reaffirming a long standing commitment at IBM.

Collaboration

Across

Eco

Eco--systemsystem

Energy Energy Efficient Efficient Infrastructure Infrastructure

IBM Project Big Green

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Five building blocks provide the approach to

operational savings and business growth.

Diagnose

Get the facts to understand your energy use and

opportunities for improvement

Build

Plan, build, and upgrade to energy efficient data centers

Cool

Virtualize

Implement virtualization and other innovative technologies Manage & Measure Seize control with energy management software

IBM Project Big

Green

Use innovative cooling

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Ability to accurately view baseline energy cost

Cost savings from more efficient energy use Rising global energy prices

Squeeze on IT budgets

Meaningful energy conservation and reduced

Positive impact linking corporate social More computing performance per kilowatt

More energy used for processing

Corporate social responsibility

Limited “green” public image Under utilised server systems

Exploding power & cooling costs

Financial

responsibility and personal values

Operational

Environmental

Benefits of a green data Centre

CO₂emissions

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Data Centre Thermal Measurement and Analysis

Utilising IBM Mobile Measurement Technology (MMT)

Jointly developed between IBM and Pacific Gas + Electric

Announced one year ago as research product as part of Big Green

Launching as official service offering within IBM Global Services Site and Facilities

Thirteen assessments performed this past year

12,991,080 (kWh) energy savings opportunity per year

Average of 12% savings in IT power

Average of 23% savings in IT cooling costs

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IBM Heat eXchanger - Removes heat at the source

After

Before

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(between applications)

Virtualised Data Centre

• With Virtualised server and storage pools, peaks in demand by one application can be

accommodated with the pooled resources

• A Utilization improvement from 15% to 45% reduces power footprint by over 60%

HP Internet WAN LAN

CRM

ERP

SCM

VPN

Virtual Server

Virtual Storage

CRM

ERP

SCM

With silos for every application, designers

are required to meet the peak demand within

the server infrastructure for that application

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If Virtualisation is so great… why isn’t everybody doing it?

Inadequate change management policies for such

a dynamic environment

Ensuring compliance and performance is not easy

with manual systems

Virtualization

Servers Network Storage

Physical Infrastructure Virtual Infrastructure

Application Complexity –

Many Operations groups do not

know which applications are

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Enterprise Data Centre